KernelNotebook/NotebookDataCleaning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import ast\n",
    "import json\n",
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scrape notebooks data (keyword: 'ASHRAE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>aceLanguageName</th>\n",
       "      <th>author</th>\n",
       "      <th>bestPublicScore</th>\n",
       "      <th>canCurrentUserDeleteKernel</th>\n",
       "      <th>categories</th>\n",
       "      <th>currentUrlSlug</th>\n",
       "      <th>currentUserHasVotedForThisScript</th>\n",
       "      <th>dataSources</th>\n",
       "      <th>forkDiffLinesChanged</th>\n",
       "      <th>forkDiffLinesDeleted</th>\n",
       "      <th>...</th>\n",
       "      <th>scriptUrl</th>\n",
       "      <th>scriptVersionDateCreated</th>\n",
       "      <th>scriptVersionId</th>\n",
       "      <th>title</th>\n",
       "      <th>totalComments</th>\n",
       "      <th>totalForks</th>\n",
       "      <th>totalScripts</th>\n",
       "      <th>totalViews</th>\n",
       "      <th>totalVotes</th>\n",
       "      <th>versionNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 113389, 'displayName': 'Vopani', 'email...</td>\n",
       "      <td>1.100</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13102, 'name': 'beginner', 'fullPath':...</td>\n",
       "      <td>ashrae-half-and-half</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/rohanrao/ashrae-half-and-half</td>\n",
       "      <td>2019-11-08 20:05:01.930000+00:00</td>\n",
       "      <td>23200282</td>\n",
       "      <td>ASHRAE: Half and Half</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3595464, 'displayName': 'CaesarLupum', ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13102, 'name': 'beginner', 'fullPath':...</td>\n",
       "      <td>ashrae-start-here-a-gentle-introduction</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/caesarlupum/ashrae-start-here-a-gentle-introd...</td>\n",
       "      <td>2019-12-31 17:59:45.940000+00:00</td>\n",
       "      <td>26043503</td>\n",
       "      <td>🔌⚡ASHRAE -Start Here: A GENTLE Introduction</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>756</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1696976, 'displayName': 'Roman', 'email...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>eda-for-ashrae</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/nroman/eda-for-ashrae</td>\n",
       "      <td>2019-10-30 14:58:37.573000+00:00</td>\n",
       "      <td>22765632</td>\n",
       "      <td>EDA for ASHRAE</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>386</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 518134, 'displayName': 'corochann', 'em...</td>\n",
       "      <td>1.121</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13101, 'name': 'tutorial', 'fullPath':...</td>\n",
       "      <td>ashrae-training-lgbm-by-meter-type</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/corochann/ashrae-training-lgbm-by-meter-type</td>\n",
       "      <td>2019-10-28 13:31:14.490000+00:00</td>\n",
       "      <td>22656160</td>\n",
       "      <td>ASHRAE: Training LGBM by meter type</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>279</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3406117, 'displayName': 'Sandeep Kumar'...</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13202, 'name': 'data cleaning', 'fullP...</td>\n",
       "      <td>ashrae-kfold-lightgbm-without-leak-1-08</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/aitude/ashrae-kfold-lightgbm-without-leak-1-08</td>\n",
       "      <td>2019-11-27 13:01:16.377000+00:00</td>\n",
       "      <td>24147708</td>\n",
       "      <td>ASHRAE- KFold LightGBM - without leak (1.08)</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>220</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1478649, 'displayName': 'Isamu Yamashit...</td>\n",
       "      <td>0.990</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-leak-validation-and-more</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/yamsam/ashrae-leak-validation-and-more</td>\n",
       "      <td>2019-11-29 13:23:53.053000+00:00</td>\n",
       "      <td>24254038</td>\n",
       "      <td>ASHRAE: Leak Validation and more</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>131</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 113389, 'displayName': 'Vopani', 'email...</td>\n",
       "      <td>1.040</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13102, 'name': 'beginner', 'fullPath':...</td>\n",
       "      <td>ashrae-divide-and-conquer</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE leak data', 'dataSourceUrl':...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/rohanrao/ashrae-divide-and-conquer</td>\n",
       "      <td>2019-11-26 06:17:27.820000+00:00</td>\n",
       "      <td>24065574</td>\n",
       "      <td>ASHRAE: Divide and Conquer</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1478649, 'displayName': 'Isamu Yamashit...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-leak-data-station</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASU buildings energy consumption', ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/yamsam/ashrae-leak-data-station</td>\n",
       "      <td>2019-12-10 11:56:34.737000+00:00</td>\n",
       "      <td>24857603</td>\n",
       "      <td>ASHRAE: Leak Data Station</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1738095, 'displayName': 'Wei Hao Khoong...</td>\n",
       "      <td>0.970</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-leak-validation-bruteforce-heuristic-se...</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/khoongweihao/ashrae-leak-validation-bruteforc...</td>\n",
       "      <td>2019-12-02 09:19:16.073000+00:00</td>\n",
       "      <td>24389328</td>\n",
       "      <td>ASHRAE Leak Validation BruteForce Heuristic Se...</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1905996, 'displayName': 'Kaushal Shah',...</td>\n",
       "      <td>1.120</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13102, 'name': 'beginner', 'fullPath':...</td>\n",
       "      <td>ashrae-eda-fe-lightgbm-1-12</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kaushal2896/ashrae-eda-fe-lightgbm-1-12</td>\n",
       "      <td>2019-11-16 11:20:53.403000+00:00</td>\n",
       "      <td>23553489</td>\n",
       "      <td>ASHRAE: EDA + FE + LightGBM (1.12)</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>126</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 71388, 'displayName': 'SRK', 'email': N...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>simple-exploration-notebook-ashrae</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/sudalairajkumar/simple-exploration-notebook-a...</td>\n",
       "      <td>2019-10-20 23:17:33.460000+00:00</td>\n",
       "      <td>22276305</td>\n",
       "      <td>Simple Exploration Notebook - ASHRAE</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>163</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3528205, 'displayName': 'Robert Stockto...</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-simple-data-cleanup-lb-1-08-no-leaks</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/purist1024/ashrae-simple-data-cleanup-lb-1-08...</td>\n",
       "      <td>2019-11-26 00:40:11.817000+00:00</td>\n",
       "      <td>24052407</td>\n",
       "      <td>Ashrae: simple data cleanup (LB 1.08 no leaks)</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1107630, 'displayName': 'Naruhiko Nakan...</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-stacking-method</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE_Ensembling_1', 'dataSourceUr...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/grapestone5321/ashrae-stacking-method</td>\n",
       "      <td>2019-11-07 14:36:33.077000+00:00</td>\n",
       "      <td>23143278</td>\n",
       "      <td>ASHRAE-Stacking Method</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1918280, 'displayName': 'Ashish Gupta',...</td>\n",
       "      <td>1.074</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-energy-prediction-using-stratified-kfold</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': '[Private Datasource]', 'dataSourceU...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/roydatascience/ashrae-energy-prediction-using...</td>\n",
       "      <td>2019-12-17 18:49:20.327000+00:00</td>\n",
       "      <td>25290795</td>\n",
       "      <td>Ashrae Energy Prediction using Stratified KFold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 451025, 'displayName': 'Henrique Mendon...</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13305, 'name': 'ensembling', 'fullPath...</td>\n",
       "      <td>4-ashrae-blended</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'subs20191106', 'dataSourceUrl': '/h...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/hmendonca/4-ashrae-blended</td>\n",
       "      <td>2019-11-06 23:27:04.443000+00:00</td>\n",
       "      <td>23111583</td>\n",
       "      <td>4 ASHRAE blended</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3595464, 'displayName': 'CaesarLupum', ...</td>\n",
       "      <td>1.210</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13101, 'name': 'tutorial', 'fullPath':...</td>\n",
       "      <td>ashrae-ligthgbm-simple-fe</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/caesarlupum/ashrae-ligthgbm-simple-fe</td>\n",
       "      <td>2019-12-31 18:09:05.097000+00:00</td>\n",
       "      <td>26043844</td>\n",
       "      <td>⚡🔌ASHRAE - LigthGBM simple FE</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 451025, 'displayName': 'Henrique Mendon...</td>\n",
       "      <td>1.230</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13101, 'name': 'tutorial', 'fullPath':...</td>\n",
       "      <td>shapley-values-for-feature-selection-ashrae</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/hmendonca/shapley-values-for-feature-selectio...</td>\n",
       "      <td>2019-10-24 08:48:29.783000+00:00</td>\n",
       "      <td>22474760</td>\n",
       "      <td>Shapley Values for Feature selection ASHRAE</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1478649, 'displayName': 'Isamu Yamashit...</td>\n",
       "      <td>1.030</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13101, 'name': 'tutorial', 'fullPath':...</td>\n",
       "      <td>ashrae-highway-kernel-route2</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASU buildings energy consumption', ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/yamsam/ashrae-highway-kernel-route2</td>\n",
       "      <td>2019-11-22 21:38:28.697000+00:00</td>\n",
       "      <td>23888757</td>\n",
       "      <td>ASHRAE: Highway Kernel Route2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 451025, 'displayName': 'Henrique Mendon...</td>\n",
       "      <td>1.240</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13208, 'name': 'data visualization', '...</td>\n",
       "      <td>starter-eda-and-feature-selection-ashrae3</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/hmendonca/starter-eda-and-feature-selection-a...</td>\n",
       "      <td>2019-10-18 11:30:48.003000+00:00</td>\n",
       "      <td>22154790</td>\n",
       "      <td>Starter EDA and Feature selection ASHRAE3</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>215</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2011241, 'displayName': 'Dmitriy Ershov...</td>\n",
       "      <td>1.350</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13102, 'name': 'beginner', 'fullPath':...</td>\n",
       "      <td>ashrae-catboost-regressor</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/bejeweled/ashrae-catboost-regressor</td>\n",
       "      <td>2019-10-16 18:44:09.260000+00:00</td>\n",
       "      <td>22062330</td>\n",
       "      <td>ASHRAE Catboost Regressor</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2405813, 'displayName': 'Konstantin Yak...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-data-minification</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kyakovlev/ashrae-data-minification</td>\n",
       "      <td>2019-10-16 15:36:47.880000+00:00</td>\n",
       "      <td>22054660</td>\n",
       "      <td>ASHRAE - Data minification</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2706866, 'displayName': 'Gunes Evitan',...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13102, 'name': 'beginner', 'fullPath':...</td>\n",
       "      <td>ashrae-ucf-spider-and-eda-full-test-labels</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/gunesevitan/ashrae-ucf-spider-and-eda-full-te...</td>\n",
       "      <td>2019-11-11 09:21:27.320000+00:00</td>\n",
       "      <td>23301547</td>\n",
       "      <td>ASHRAE - UCF Spider and EDA (Full Test Labels)</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>152</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3281744, 'displayName': 'Vishwanath R K...</td>\n",
       "      <td>1.103</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-great-energy-predictor-iii-eda-model</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kulkarnivishwanath/ashrae-great-energy-predic...</td>\n",
       "      <td>2019-12-19 08:22:13.217000+00:00</td>\n",
       "      <td>25377398</td>\n",
       "      <td>ASHRAE - Great Energy Predictor III- EDA&amp;Model</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2405813, 'displayName': 'Konstantin Yak...</td>\n",
       "      <td>1.230</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-catboost</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kyakovlev/ashrae-catboost</td>\n",
       "      <td>2019-10-24 23:57:35.117000+00:00</td>\n",
       "      <td>22513732</td>\n",
       "      <td>ASHRAE - Catboost</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2006644, 'displayName': 'Jonny Lee', 'e...</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-maybe-this-can-make-public-lb-some-useful</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASU buildings energy consumption', ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/wuliaokaola/ashrae-maybe-this-can-make-public...</td>\n",
       "      <td>2019-11-28 05:54:36.807000+00:00</td>\n",
       "      <td>24187507</td>\n",
       "      <td>ASHRAE: Maybe this can make public LB some use...</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 518134, 'displayName': 'corochann', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-feather-format-for-fast-loading</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/corochann/ashrae-feather-format-for-fast-loading</td>\n",
       "      <td>2019-10-20 06:48:26.380000+00:00</td>\n",
       "      <td>22238783</td>\n",
       "      <td>ASHRAE: feather format for fast loading</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2405813, 'displayName': 'Konstantin Yak...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-cv-options</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kyakovlev/ashrae-cv-options</td>\n",
       "      <td>2019-10-17 18:35:23.770000+00:00</td>\n",
       "      <td>22119513</td>\n",
       "      <td>ASHRAE - CV options</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3798783, 'displayName': 'Yixinchen', 'e...</td>\n",
       "      <td>1.060</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 16074, 'name': 'utility script', 'full...</td>\n",
       "      <td>ashrae-1-1-to-1-06-with-ucl</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/yixinchen1/ashrae-1-1-to-1-06-with-ucl</td>\n",
       "      <td>2019-11-19 17:34:21.733000+00:00</td>\n",
       "      <td>23717089</td>\n",
       "      <td>ASHRAE:1.1 to 1.06 with UCL</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2405813, 'displayName': 'Konstantin Yak...</td>\n",
       "      <td>1.360</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashrae-baseline-lgbm</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kyakovlev/ashrae-baseline-lgbm</td>\n",
       "      <td>2019-10-18 13:19:40.463000+00:00</td>\n",
       "      <td>22159198</td>\n",
       "      <td>ASHRAE - Baseline LGBM</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 518630, 'displayName': 'Hitesh Somani',...</td>\n",
       "      <td>1.110</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'id': 13306, 'name': 'feature engineering', ...</td>\n",
       "      <td>ashrae-3-lightgbm</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/hiteshsom/ashrae-3-lightgbm</td>\n",
       "      <td>2020-01-03 09:13:48.207000+00:00</td>\n",
       "      <td>26194007</td>\n",
       "      <td>ASHRAE 3 LightGBM</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2571500, 'displayName': 'Namrata', 'ema...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>eda-python</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/namratakpatil/eda-python</td>\n",
       "      <td>2019-12-19 17:19:41.790000+00:00</td>\n",
       "      <td>25405525</td>\n",
       "      <td>eda_python</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1469194, 'displayName': 'Srinivas M Bes...</td>\n",
       "      <td>1.290</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>ashare-light-gbm</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/srbestha/ashare-light-gbm</td>\n",
       "      <td>2019-11-25 06:40:40.727000+00:00</td>\n",
       "      <td>24006218</td>\n",
       "      <td>Ashare Light GBM</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1427275, 'displayName': 'Atharva Patel'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>training</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/patelatharva/training</td>\n",
       "      <td>2019-12-16 17:07:47.937000+00:00</td>\n",
       "      <td>25223784</td>\n",
       "      <td>training</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 887473, 'displayName': 'Stéphane Thibau...</td>\n",
       "      <td>1.875</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>energy-usage-prediction</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/snthibaud/energy-usage-prediction</td>\n",
       "      <td>2019-12-18 15:47:52.817000+00:00</td>\n",
       "      <td>25338771</td>\n",
       "      <td>Energy usage prediction</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3978484, 'displayName': 'Shizhao Liu', ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>101-v1</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/shizhaoliu/101-v1</td>\n",
       "      <td>2019-12-03 04:52:40.643000+00:00</td>\n",
       "      <td>24437208</td>\n",
       "      <td>101-v1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2132795, 'displayName': 'kaerururu', 'e...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>chunk-to-handle-very-lerge-data</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/kaerunantoka/chunk-to-handle-very-lerge-data</td>\n",
       "      <td>2019-10-16 08:41:11.233000+00:00</td>\n",
       "      <td>22035172</td>\n",
       "      <td>[chunk] To handle Very Lerge Data</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2759795, 'displayName': 'MANISH SHUKLA'...</td>\n",
       "      <td>1.180</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>energy-consumption</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/shukla84manish/energy-consumption</td>\n",
       "      <td>2019-11-28 04:05:31.357000+00:00</td>\n",
       "      <td>24184322</td>\n",
       "      <td>Energy Consumption</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1427275, 'displayName': 'Atharva Patel'...</td>\n",
       "      <td>1.150</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>prediction</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/patelatharva/prediction</td>\n",
       "      <td>2019-11-24 07:43:40.010000+00:00</td>\n",
       "      <td>23954881</td>\n",
       "      <td>prediction</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2298222, 'displayName': 'Amangeldy Shal...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>my-kernel</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/amangeldysh/my-kernel</td>\n",
       "      <td>2019-12-19 23:50:06.093000+00:00</td>\n",
       "      <td>25417570</td>\n",
       "      <td>My kernel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2577998, 'displayName': 'Laura Leman', ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>kullipojad-submission</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/screaminglordbyron/kullipojad-submission</td>\n",
       "      <td>2019-12-20 00:04:09.247000+00:00</td>\n",
       "      <td>25418377</td>\n",
       "      <td>Kullipojad submission</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1894505, 'displayName': 'Tim Yee', 'ema...</td>\n",
       "      <td>2.130</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>how-low-can-we-go</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/teeyee314/how-low-can-we-go</td>\n",
       "      <td>2019-10-23 07:06:33.833000+00:00</td>\n",
       "      <td>22407183</td>\n",
       "      <td>How low can we go</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3909129, 'displayName': 'matsushin', 'e...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>kernel3a89971bf9</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/matsushin/kernel3a89971bf9</td>\n",
       "      <td>2019-10-23 10:42:08.463000+00:00</td>\n",
       "      <td>22416731</td>\n",
       "      <td>kernel3a89971bf9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3474468, 'displayName': 'Roberto Bianco...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>main-eda-and-relationships-between-variables</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/robertobianco/main-eda-and-relationships-betw...</td>\n",
       "      <td>2019-10-21 18:59:52.307000+00:00</td>\n",
       "      <td>22323375</td>\n",
       "      <td>Main EDA and relationships between variables</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2642789, 'displayName': 'Cameron Dufaul...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>beginner-kernel</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/dufault77/beginner-kernel</td>\n",
       "      <td>2019-11-16 11:31:56.340000+00:00</td>\n",
       "      <td>23553824</td>\n",
       "      <td>Beginner Kernel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 942943, 'displayName': 'Alexey Zy', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>building-metadata-primary-use-to-one-hot-vector</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/alexzy/building-metadata-primary-use-to-one-h...</td>\n",
       "      <td>2019-11-07 15:43:41.367000+00:00</td>\n",
       "      <td>23146128</td>\n",
       "      <td>building_metadata [primary_use] to one_hot_vector</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 684514, 'displayName': 'Balaji Selvaraj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>fastai-v2-starter-code</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/dhakshiin1601/fastai-v2-starter-code</td>\n",
       "      <td>2019-10-24 15:27:52.147000+00:00</td>\n",
       "      <td>22494203</td>\n",
       "      <td>fastai v2 Starter Code</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>bland-nn-on-pp-leaks-train-fe</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/bland-nn-on-pp-leaks-train-fe</td>\n",
       "      <td>2019-12-19 12:41:58.910000+00:00</td>\n",
       "      <td>25392273</td>\n",
       "      <td>Bland NN on PP + Leaks Train + FE</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>nn-on-pp-leaks-train-fe-fold-1</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/nn-on-pp-leaks-train-fe-fold-1</td>\n",
       "      <td>2019-12-18 19:46:17.547000+00:00</td>\n",
       "      <td>25347371</td>\n",
       "      <td>NN on PP + Leaks Train + FE Fold 1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>baseline-preprocessing-leaks-train-fe</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/baseline-preprocessing-leaks-tr...</td>\n",
       "      <td>2019-12-22 20:01:13.610000+00:00</td>\n",
       "      <td>25546541</td>\n",
       "      <td>Baseline Preprocessing + Leaks Train + FE</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>baseline-preprocessing</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/baseline-preprocessing</td>\n",
       "      <td>2019-12-05 20:36:36.697000+00:00</td>\n",
       "      <td>24610874</td>\n",
       "      <td>Baseline Preprocessing</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1894505, 'displayName': 'Tim Yee', 'ema...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>aligned-timestamp-lgbm-by-meter-type-1-09</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'UCF building energy consumption', '...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/teeyee314/aligned-timestamp-lgbm-by-meter-typ...</td>\n",
       "      <td>2019-12-28 13:49:48.527000+00:00</td>\n",
       "      <td>25858812</td>\n",
       "      <td>Aligned Timestamp - LGBM by meter type &lt; 1.09</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>lgbm-on-pp-leaks-train-fe-fold-1</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/lgbm-on-pp-leaks-train-fe-fold-1</td>\n",
       "      <td>2019-12-16 19:15:03.453000+00:00</td>\n",
       "      <td>25228735</td>\n",
       "      <td>LGBM on PP + Leaks Train + FE  Fold 1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>lgbm-on-leaks-fold-1</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/lgbm-on-leaks-fold-1</td>\n",
       "      <td>2019-12-17 16:51:22.490000+00:00</td>\n",
       "      <td>25282348</td>\n",
       "      <td>LGBM on Leaks Fold 1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>bland-lgbm-on-pp-leaks-train-fe</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/bland-lgbm-on-pp-leaks-train-fe</td>\n",
       "      <td>2019-12-17 14:39:04.333000+00:00</td>\n",
       "      <td>25276519</td>\n",
       "      <td>Bland LGBM on PP + Leaks Train + FE</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>bland-lgbm-on-leaks</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/bland-lgbm-on-leaks</td>\n",
       "      <td>2019-12-17 11:20:49.217000+00:00</td>\n",
       "      <td>25266432</td>\n",
       "      <td>Bland LGBM on Leaks</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>1.070</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>bland-lgbm-folds</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/bland-lgbm-folds</td>\n",
       "      <td>2019-12-07 08:58:38.147000+00:00</td>\n",
       "      <td>24681733</td>\n",
       "      <td>Bland LGBM Folds</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 1690820, 'displayName': 'Vladimir', 'em...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>lgbm-fold-1</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/vladimirsydor/lgbm-fold-1</td>\n",
       "      <td>2019-12-06 08:42:59.507000+00:00</td>\n",
       "      <td>24635449</td>\n",
       "      <td>LGBM Fold 1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2689627, 'displayName': 'HOZHEN', 'emai...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>in-depth-eda</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/hozhen/in-depth-eda</td>\n",
       "      <td>2020-01-12 06:59:06.383000+00:00</td>\n",
       "      <td>26732923</td>\n",
       "      <td>In depth EDA</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 3978484, 'displayName': 'Shizhao Liu', ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>101-v3</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'ASHRAE - Great Energy Predictor III...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/shizhaoliu/101-v3</td>\n",
       "      <td>2019-12-15 20:24:57.320000+00:00</td>\n",
       "      <td>25170494</td>\n",
       "      <td>101-v3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>python</td>\n",
       "      <td>{'id': 2268846, 'displayName': 'Manmohan Ganes...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>competitions-are-rock-n-roll</td>\n",
       "      <td>False</td>\n",
       "      <td>[{'name': 'Santa's Workshop Tour 2019', 'dataS...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>/mannuyaar/competitions-are-rock-n-roll</td>\n",
       "      <td>2019-11-29 04:54:12.713000+00:00</td>\n",
       "      <td>24234339</td>\n",
       "      <td>Competitions are Rock'n' Roll</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>441 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    aceLanguageName                                             author  \\\n",
       "0            python  {'id': 113389, 'displayName': 'Vopani', 'email...   \n",
       "1            python  {'id': 3595464, 'displayName': 'CaesarLupum', ...   \n",
       "2            python  {'id': 1696976, 'displayName': 'Roman', 'email...   \n",
       "3            python  {'id': 518134, 'displayName': 'corochann', 'em...   \n",
       "4            python  {'id': 3406117, 'displayName': 'Sandeep Kumar'...   \n",
       "5            python  {'id': 1478649, 'displayName': 'Isamu Yamashit...   \n",
       "6            python  {'id': 113389, 'displayName': 'Vopani', 'email...   \n",
       "7            python  {'id': 1478649, 'displayName': 'Isamu Yamashit...   \n",
       "8            python  {'id': 1738095, 'displayName': 'Wei Hao Khoong...   \n",
       "9            python  {'id': 1905996, 'displayName': 'Kaushal Shah',...   \n",
       "10           python  {'id': 71388, 'displayName': 'SRK', 'email': N...   \n",
       "11           python  {'id': 3528205, 'displayName': 'Robert Stockto...   \n",
       "12           python  {'id': 1107630, 'displayName': 'Naruhiko Nakan...   \n",
       "13           python  {'id': 1918280, 'displayName': 'Ashish Gupta',...   \n",
       "14           python  {'id': 451025, 'displayName': 'Henrique Mendon...   \n",
       "15           python  {'id': 3595464, 'displayName': 'CaesarLupum', ...   \n",
       "16           python  {'id': 451025, 'displayName': 'Henrique Mendon...   \n",
       "17           python  {'id': 1478649, 'displayName': 'Isamu Yamashit...   \n",
       "18           python  {'id': 451025, 'displayName': 'Henrique Mendon...   \n",
       "19           python  {'id': 2011241, 'displayName': 'Dmitriy Ershov...   \n",
       "20           python  {'id': 2405813, 'displayName': 'Konstantin Yak...   \n",
       "21           python  {'id': 2706866, 'displayName': 'Gunes Evitan',...   \n",
       "22           python  {'id': 3281744, 'displayName': 'Vishwanath R K...   \n",
       "23           python  {'id': 2405813, 'displayName': 'Konstantin Yak...   \n",
       "24           python  {'id': 2006644, 'displayName': 'Jonny Lee', 'e...   \n",
       "25           python  {'id': 518134, 'displayName': 'corochann', 'em...   \n",
       "26           python  {'id': 2405813, 'displayName': 'Konstantin Yak...   \n",
       "27           python  {'id': 3798783, 'displayName': 'Yixinchen', 'e...   \n",
       "28           python  {'id': 2405813, 'displayName': 'Konstantin Yak...   \n",
       "29           python  {'id': 518630, 'displayName': 'Hitesh Somani',...   \n",
       "..              ...                                                ...   \n",
       "411          python  {'id': 2571500, 'displayName': 'Namrata', 'ema...   \n",
       "412          python  {'id': 1469194, 'displayName': 'Srinivas M Bes...   \n",
       "413          python  {'id': 1427275, 'displayName': 'Atharva Patel'...   \n",
       "414          python  {'id': 887473, 'displayName': 'Stéphane Thibau...   \n",
       "415          python  {'id': 3978484, 'displayName': 'Shizhao Liu', ...   \n",
       "416          python  {'id': 2132795, 'displayName': 'kaerururu', 'e...   \n",
       "417          python  {'id': 2759795, 'displayName': 'MANISH SHUKLA'...   \n",
       "418          python  {'id': 1427275, 'displayName': 'Atharva Patel'...   \n",
       "419          python  {'id': 2298222, 'displayName': 'Amangeldy Shal...   \n",
       "420          python  {'id': 2577998, 'displayName': 'Laura Leman', ...   \n",
       "421          python  {'id': 1894505, 'displayName': 'Tim Yee', 'ema...   \n",
       "422          python  {'id': 3909129, 'displayName': 'matsushin', 'e...   \n",
       "423          python  {'id': 3474468, 'displayName': 'Roberto Bianco...   \n",
       "424          python  {'id': 2642789, 'displayName': 'Cameron Dufaul...   \n",
       "425          python  {'id': 942943, 'displayName': 'Alexey Zy', 'em...   \n",
       "426          python  {'id': 684514, 'displayName': 'Balaji Selvaraj...   \n",
       "427          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "428          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "429          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "430          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "431          python  {'id': 1894505, 'displayName': 'Tim Yee', 'ema...   \n",
       "432          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "433          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "434          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "435          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "436          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "437          python  {'id': 1690820, 'displayName': 'Vladimir', 'em...   \n",
       "438          python  {'id': 2689627, 'displayName': 'HOZHEN', 'emai...   \n",
       "439          python  {'id': 3978484, 'displayName': 'Shizhao Liu', ...   \n",
       "440          python  {'id': 2268846, 'displayName': 'Manmohan Ganes...   \n",
       "\n",
       "     bestPublicScore  canCurrentUserDeleteKernel  \\\n",
       "0              1.100                       False   \n",
       "1                NaN                       False   \n",
       "2                NaN                       False   \n",
       "3              1.121                       False   \n",
       "4              1.080                       False   \n",
       "5              0.990                       False   \n",
       "6              1.040                       False   \n",
       "7                NaN                       False   \n",
       "8              0.970                       False   \n",
       "9              1.120                       False   \n",
       "10               NaN                       False   \n",
       "11             1.080                       False   \n",
       "12             1.090                       False   \n",
       "13             1.074                       False   \n",
       "14             1.090                       False   \n",
       "15             1.210                       False   \n",
       "16             1.230                       False   \n",
       "17             1.030                       False   \n",
       "18             1.240                       False   \n",
       "19             1.350                       False   \n",
       "20               NaN                       False   \n",
       "21               NaN                       False   \n",
       "22             1.103                       False   \n",
       "23             1.230                       False   \n",
       "24             1.010                       False   \n",
       "25               NaN                       False   \n",
       "26               NaN                       False   \n",
       "27             1.060                       False   \n",
       "28             1.360                       False   \n",
       "29             1.110                       False   \n",
       "..               ...                         ...   \n",
       "411              NaN                       False   \n",
       "412            1.290                       False   \n",
       "413              NaN                       False   \n",
       "414            1.875                       False   \n",
       "415              NaN                       False   \n",
       "416              NaN                       False   \n",
       "417            1.180                       False   \n",
       "418            1.150                       False   \n",
       "419              NaN                       False   \n",
       "420              NaN                       False   \n",
       "421            2.130                       False   \n",
       "422              NaN                       False   \n",
       "423              NaN                       False   \n",
       "424              NaN                       False   \n",
       "425              NaN                       False   \n",
       "426              NaN                       False   \n",
       "427              NaN                       False   \n",
       "428              NaN                       False   \n",
       "429              NaN                       False   \n",
       "430              NaN                       False   \n",
       "431              NaN                       False   \n",
       "432              NaN                       False   \n",
       "433              NaN                       False   \n",
       "434              NaN                       False   \n",
       "435            1.010                       False   \n",
       "436            1.070                       False   \n",
       "437              NaN                       False   \n",
       "438              NaN                       False   \n",
       "439              NaN                       False   \n",
       "440              NaN                       False   \n",
       "\n",
       "                                            categories  \\\n",
       "0    [{'id': 13102, 'name': 'beginner', 'fullPath':...   \n",
       "1    [{'id': 13102, 'name': 'beginner', 'fullPath':...   \n",
       "2                                                   []   \n",
       "3    [{'id': 13101, 'name': 'tutorial', 'fullPath':...   \n",
       "4    [{'id': 13202, 'name': 'data cleaning', 'fullP...   \n",
       "5                                                   []   \n",
       "6    [{'id': 13102, 'name': 'beginner', 'fullPath':...   \n",
       "7                                                   []   \n",
       "8                                                   []   \n",
       "9    [{'id': 13102, 'name': 'beginner', 'fullPath':...   \n",
       "10                                                  []   \n",
       "11                                                  []   \n",
       "12                                                  []   \n",
       "13                                                  []   \n",
       "14   [{'id': 13305, 'name': 'ensembling', 'fullPath...   \n",
       "15   [{'id': 13101, 'name': 'tutorial', 'fullPath':...   \n",
       "16   [{'id': 13101, 'name': 'tutorial', 'fullPath':...   \n",
       "17   [{'id': 13101, 'name': 'tutorial', 'fullPath':...   \n",
       "18   [{'id': 13208, 'name': 'data visualization', '...   \n",
       "19   [{'id': 13102, 'name': 'beginner', 'fullPath':...   \n",
       "20                                                  []   \n",
       "21   [{'id': 13102, 'name': 'beginner', 'fullPath':...   \n",
       "22                                                  []   \n",
       "23                                                  []   \n",
       "24                                                  []   \n",
       "25                                                  []   \n",
       "26                                                  []   \n",
       "27   [{'id': 16074, 'name': 'utility script', 'full...   \n",
       "28                                                  []   \n",
       "29   [{'id': 13306, 'name': 'feature engineering', ...   \n",
       "..                                                 ...   \n",
       "411                                                 []   \n",
       "412                                                 []   \n",
       "413                                                 []   \n",
       "414                                                 []   \n",
       "415                                                 []   \n",
       "416                                                 []   \n",
       "417                                                 []   \n",
       "418                                                 []   \n",
       "419                                                 []   \n",
       "420                                                 []   \n",
       "421                                                 []   \n",
       "422                                                 []   \n",
       "423                                                 []   \n",
       "424                                                 []   \n",
       "425                                                 []   \n",
       "426                                                 []   \n",
       "427                                                 []   \n",
       "428                                                 []   \n",
       "429                                                 []   \n",
       "430                                                 []   \n",
       "431                                                 []   \n",
       "432                                                 []   \n",
       "433                                                 []   \n",
       "434                                                 []   \n",
       "435                                                 []   \n",
       "436                                                 []   \n",
       "437                                                 []   \n",
       "438                                                 []   \n",
       "439                                                 []   \n",
       "440                                                 []   \n",
       "\n",
       "                                        currentUrlSlug  \\\n",
       "0                                 ashrae-half-and-half   \n",
       "1              ashrae-start-here-a-gentle-introduction   \n",
       "2                                       eda-for-ashrae   \n",
       "3                   ashrae-training-lgbm-by-meter-type   \n",
       "4              ashrae-kfold-lightgbm-without-leak-1-08   \n",
       "5                      ashrae-leak-validation-and-more   \n",
       "6                            ashrae-divide-and-conquer   \n",
       "7                             ashrae-leak-data-station   \n",
       "8    ashrae-leak-validation-bruteforce-heuristic-se...   \n",
       "9                          ashrae-eda-fe-lightgbm-1-12   \n",
       "10                  simple-exploration-notebook-ashrae   \n",
       "11         ashrae-simple-data-cleanup-lb-1-08-no-leaks   \n",
       "12                              ashrae-stacking-method   \n",
       "13     ashrae-energy-prediction-using-stratified-kfold   \n",
       "14                                    4-ashrae-blended   \n",
       "15                           ashrae-ligthgbm-simple-fe   \n",
       "16         shapley-values-for-feature-selection-ashrae   \n",
       "17                        ashrae-highway-kernel-route2   \n",
       "18           starter-eda-and-feature-selection-ashrae3   \n",
       "19                           ashrae-catboost-regressor   \n",
       "20                            ashrae-data-minification   \n",
       "21          ashrae-ucf-spider-and-eda-full-test-labels   \n",
       "22         ashrae-great-energy-predictor-iii-eda-model   \n",
       "23                                     ashrae-catboost   \n",
       "24    ashrae-maybe-this-can-make-public-lb-some-useful   \n",
       "25              ashrae-feather-format-for-fast-loading   \n",
       "26                                   ashrae-cv-options   \n",
       "27                         ashrae-1-1-to-1-06-with-ucl   \n",
       "28                                ashrae-baseline-lgbm   \n",
       "29                                   ashrae-3-lightgbm   \n",
       "..                                                 ...   \n",
       "411                                         eda-python   \n",
       "412                                   ashare-light-gbm   \n",
       "413                                           training   \n",
       "414                            energy-usage-prediction   \n",
       "415                                             101-v1   \n",
       "416                    chunk-to-handle-very-lerge-data   \n",
       "417                                 energy-consumption   \n",
       "418                                         prediction   \n",
       "419                                          my-kernel   \n",
       "420                              kullipojad-submission   \n",
       "421                                  how-low-can-we-go   \n",
       "422                                   kernel3a89971bf9   \n",
       "423       main-eda-and-relationships-between-variables   \n",
       "424                                    beginner-kernel   \n",
       "425    building-metadata-primary-use-to-one-hot-vector   \n",
       "426                             fastai-v2-starter-code   \n",
       "427                      bland-nn-on-pp-leaks-train-fe   \n",
       "428                     nn-on-pp-leaks-train-fe-fold-1   \n",
       "429              baseline-preprocessing-leaks-train-fe   \n",
       "430                             baseline-preprocessing   \n",
       "431          aligned-timestamp-lgbm-by-meter-type-1-09   \n",
       "432                   lgbm-on-pp-leaks-train-fe-fold-1   \n",
       "433                               lgbm-on-leaks-fold-1   \n",
       "434                    bland-lgbm-on-pp-leaks-train-fe   \n",
       "435                                bland-lgbm-on-leaks   \n",
       "436                                   bland-lgbm-folds   \n",
       "437                                        lgbm-fold-1   \n",
       "438                                       in-depth-eda   \n",
       "439                                             101-v3   \n",
       "440                       competitions-are-rock-n-roll   \n",
       "\n",
       "     currentUserHasVotedForThisScript  \\\n",
       "0                               False   \n",
       "1                               False   \n",
       "2                               False   \n",
       "3                               False   \n",
       "4                               False   \n",
       "5                               False   \n",
       "6                               False   \n",
       "7                               False   \n",
       "8                               False   \n",
       "9                               False   \n",
       "10                              False   \n",
       "11                              False   \n",
       "12                              False   \n",
       "13                              False   \n",
       "14                              False   \n",
       "15                              False   \n",
       "16                              False   \n",
       "17                              False   \n",
       "18                              False   \n",
       "19                              False   \n",
       "20                              False   \n",
       "21                              False   \n",
       "22                              False   \n",
       "23                              False   \n",
       "24                              False   \n",
       "25                              False   \n",
       "26                              False   \n",
       "27                              False   \n",
       "28                              False   \n",
       "29                              False   \n",
       "..                                ...   \n",
       "411                             False   \n",
       "412                             False   \n",
       "413                             False   \n",
       "414                             False   \n",
       "415                             False   \n",
       "416                             False   \n",
       "417                             False   \n",
       "418                             False   \n",
       "419                             False   \n",
       "420                             False   \n",
       "421                             False   \n",
       "422                             False   \n",
       "423                             False   \n",
       "424                             False   \n",
       "425                             False   \n",
       "426                             False   \n",
       "427                             False   \n",
       "428                             False   \n",
       "429                             False   \n",
       "430                             False   \n",
       "431                             False   \n",
       "432                             False   \n",
       "433                             False   \n",
       "434                             False   \n",
       "435                             False   \n",
       "436                             False   \n",
       "437                             False   \n",
       "438                             False   \n",
       "439                             False   \n",
       "440                             False   \n",
       "\n",
       "                                           dataSources  forkDiffLinesChanged  \\\n",
       "0    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "1    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "2    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "3    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "4    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "5    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "6    [{'name': 'ASHRAE leak data', 'dataSourceUrl':...                     0   \n",
       "7    [{'name': 'ASU buildings energy consumption', ...                     0   \n",
       "8    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "9    [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "10   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "11   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "12   [{'name': 'ASHRAE_Ensembling_1', 'dataSourceUr...                     0   \n",
       "13   [{'name': '[Private Datasource]', 'dataSourceU...                     0   \n",
       "14   [{'name': 'subs20191106', 'dataSourceUrl': '/h...                     0   \n",
       "15   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "16   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "17   [{'name': 'ASU buildings energy consumption', ...                     0   \n",
       "18   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "19   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "20   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "21   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "22   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "23   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "24   [{'name': 'ASU buildings energy consumption', ...                     0   \n",
       "25   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "26   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "27   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "28   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "29   [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "..                                                 ...                   ...   \n",
       "411  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "412  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "413  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "414  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "415  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "416  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "417  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "418  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "419  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "420  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "421  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "422  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "423  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "424  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "425  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "426  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "427  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "428  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "429  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "430  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "431  [{'name': 'UCF building energy consumption', '...                     0   \n",
       "432  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "433  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "434  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "435  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "436  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "437  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "438  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "439  [{'name': 'ASHRAE - Great Energy Predictor III...                     0   \n",
       "440  [{'name': 'Santa's Workshop Tour 2019', 'dataS...                     0   \n",
       "\n",
       "     forkDiffLinesDeleted  ...  \\\n",
       "0                       0  ...   \n",
       "1                       0  ...   \n",
       "2                       0  ...   \n",
       "3                       0  ...   \n",
       "4                       0  ...   \n",
       "5                       0  ...   \n",
       "6                       0  ...   \n",
       "7                       0  ...   \n",
       "8                       0  ...   \n",
       "9                       0  ...   \n",
       "10                      0  ...   \n",
       "11                      0  ...   \n",
       "12                      0  ...   \n",
       "13                      0  ...   \n",
       "14                      0  ...   \n",
       "15                      0  ...   \n",
       "16                      0  ...   \n",
       "17                      0  ...   \n",
       "18                      0  ...   \n",
       "19                      0  ...   \n",
       "20                      0  ...   \n",
       "21                      0  ...   \n",
       "22                      0  ...   \n",
       "23                      0  ...   \n",
       "24                      0  ...   \n",
       "25                      0  ...   \n",
       "26                      0  ...   \n",
       "27                      0  ...   \n",
       "28                      0  ...   \n",
       "29                      0  ...   \n",
       "..                    ...  ...   \n",
       "411                     0  ...   \n",
       "412                     0  ...   \n",
       "413                     0  ...   \n",
       "414                     0  ...   \n",
       "415                     0  ...   \n",
       "416                     0  ...   \n",
       "417                     0  ...   \n",
       "418                     0  ...   \n",
       "419                     0  ...   \n",
       "420                     0  ...   \n",
       "421                     0  ...   \n",
       "422                     0  ...   \n",
       "423                     0  ...   \n",
       "424                     0  ...   \n",
       "425                     0  ...   \n",
       "426                     0  ...   \n",
       "427                     0  ...   \n",
       "428                     0  ...   \n",
       "429                     0  ...   \n",
       "430                     0  ...   \n",
       "431                     0  ...   \n",
       "432                     0  ...   \n",
       "433                     0  ...   \n",
       "434                     0  ...   \n",
       "435                     0  ...   \n",
       "436                     0  ...   \n",
       "437                     0  ...   \n",
       "438                     0  ...   \n",
       "439                     0  ...   \n",
       "440                     0  ...   \n",
       "\n",
       "                                             scriptUrl  \\\n",
       "0                       /rohanrao/ashrae-half-and-half   \n",
       "1    /caesarlupum/ashrae-start-here-a-gentle-introd...   \n",
       "2                               /nroman/eda-for-ashrae   \n",
       "3        /corochann/ashrae-training-lgbm-by-meter-type   \n",
       "4      /aitude/ashrae-kfold-lightgbm-without-leak-1-08   \n",
       "5              /yamsam/ashrae-leak-validation-and-more   \n",
       "6                  /rohanrao/ashrae-divide-and-conquer   \n",
       "7                     /yamsam/ashrae-leak-data-station   \n",
       "8    /khoongweihao/ashrae-leak-validation-bruteforc...   \n",
       "9             /kaushal2896/ashrae-eda-fe-lightgbm-1-12   \n",
       "10   /sudalairajkumar/simple-exploration-notebook-a...   \n",
       "11   /purist1024/ashrae-simple-data-cleanup-lb-1-08...   \n",
       "12              /grapestone5321/ashrae-stacking-method   \n",
       "13   /roydatascience/ashrae-energy-prediction-using...   \n",
       "14                         /hmendonca/4-ashrae-blended   \n",
       "15              /caesarlupum/ashrae-ligthgbm-simple-fe   \n",
       "16   /hmendonca/shapley-values-for-feature-selectio...   \n",
       "17                /yamsam/ashrae-highway-kernel-route2   \n",
       "18   /hmendonca/starter-eda-and-feature-selection-a...   \n",
       "19                /bejeweled/ashrae-catboost-regressor   \n",
       "20                 /kyakovlev/ashrae-data-minification   \n",
       "21   /gunesevitan/ashrae-ucf-spider-and-eda-full-te...   \n",
       "22   /kulkarnivishwanath/ashrae-great-energy-predic...   \n",
       "23                          /kyakovlev/ashrae-catboost   \n",
       "24   /wuliaokaola/ashrae-maybe-this-can-make-public...   \n",
       "25   /corochann/ashrae-feather-format-for-fast-loading   \n",
       "26                        /kyakovlev/ashrae-cv-options   \n",
       "27             /yixinchen1/ashrae-1-1-to-1-06-with-ucl   \n",
       "28                     /kyakovlev/ashrae-baseline-lgbm   \n",
       "29                        /hiteshsom/ashrae-3-lightgbm   \n",
       "..                                                 ...   \n",
       "411                          /namratakpatil/eda-python   \n",
       "412                         /srbestha/ashare-light-gbm   \n",
       "413                             /patelatharva/training   \n",
       "414                 /snthibaud/energy-usage-prediction   \n",
       "415                                 /shizhaoliu/101-v1   \n",
       "416      /kaerunantoka/chunk-to-handle-very-lerge-data   \n",
       "417                 /shukla84manish/energy-consumption   \n",
       "418                           /patelatharva/prediction   \n",
       "419                             /amangeldysh/my-kernel   \n",
       "420          /screaminglordbyron/kullipojad-submission   \n",
       "421                       /teeyee314/how-low-can-we-go   \n",
       "422                        /matsushin/kernel3a89971bf9   \n",
       "423  /robertobianco/main-eda-and-relationships-betw...   \n",
       "424                         /dufault77/beginner-kernel   \n",
       "425  /alexzy/building-metadata-primary-use-to-one-h...   \n",
       "426              /dhakshiin1601/fastai-v2-starter-code   \n",
       "427       /vladimirsydor/bland-nn-on-pp-leaks-train-fe   \n",
       "428      /vladimirsydor/nn-on-pp-leaks-train-fe-fold-1   \n",
       "429  /vladimirsydor/baseline-preprocessing-leaks-tr...   \n",
       "430              /vladimirsydor/baseline-preprocessing   \n",
       "431  /teeyee314/aligned-timestamp-lgbm-by-meter-typ...   \n",
       "432    /vladimirsydor/lgbm-on-pp-leaks-train-fe-fold-1   \n",
       "433                /vladimirsydor/lgbm-on-leaks-fold-1   \n",
       "434     /vladimirsydor/bland-lgbm-on-pp-leaks-train-fe   \n",
       "435                 /vladimirsydor/bland-lgbm-on-leaks   \n",
       "436                    /vladimirsydor/bland-lgbm-folds   \n",
       "437                         /vladimirsydor/lgbm-fold-1   \n",
       "438                               /hozhen/in-depth-eda   \n",
       "439                                 /shizhaoliu/101-v3   \n",
       "440            /mannuyaar/competitions-are-rock-n-roll   \n",
       "\n",
       "            scriptVersionDateCreated  scriptVersionId  \\\n",
       "0   2019-11-08 20:05:01.930000+00:00         23200282   \n",
       "1   2019-12-31 17:59:45.940000+00:00         26043503   \n",
       "2   2019-10-30 14:58:37.573000+00:00         22765632   \n",
       "3   2019-10-28 13:31:14.490000+00:00         22656160   \n",
       "4   2019-11-27 13:01:16.377000+00:00         24147708   \n",
       "5   2019-11-29 13:23:53.053000+00:00         24254038   \n",
       "6   2019-11-26 06:17:27.820000+00:00         24065574   \n",
       "7   2019-12-10 11:56:34.737000+00:00         24857603   \n",
       "8   2019-12-02 09:19:16.073000+00:00         24389328   \n",
       "9   2019-11-16 11:20:53.403000+00:00         23553489   \n",
       "10  2019-10-20 23:17:33.460000+00:00         22276305   \n",
       "11  2019-11-26 00:40:11.817000+00:00         24052407   \n",
       "12  2019-11-07 14:36:33.077000+00:00         23143278   \n",
       "13  2019-12-17 18:49:20.327000+00:00         25290795   \n",
       "14  2019-11-06 23:27:04.443000+00:00         23111583   \n",
       "15  2019-12-31 18:09:05.097000+00:00         26043844   \n",
       "16  2019-10-24 08:48:29.783000+00:00         22474760   \n",
       "17  2019-11-22 21:38:28.697000+00:00         23888757   \n",
       "18  2019-10-18 11:30:48.003000+00:00         22154790   \n",
       "19  2019-10-16 18:44:09.260000+00:00         22062330   \n",
       "20  2019-10-16 15:36:47.880000+00:00         22054660   \n",
       "21  2019-11-11 09:21:27.320000+00:00         23301547   \n",
       "22  2019-12-19 08:22:13.217000+00:00         25377398   \n",
       "23  2019-10-24 23:57:35.117000+00:00         22513732   \n",
       "24  2019-11-28 05:54:36.807000+00:00         24187507   \n",
       "25  2019-10-20 06:48:26.380000+00:00         22238783   \n",
       "26  2019-10-17 18:35:23.770000+00:00         22119513   \n",
       "27  2019-11-19 17:34:21.733000+00:00         23717089   \n",
       "28  2019-10-18 13:19:40.463000+00:00         22159198   \n",
       "29  2020-01-03 09:13:48.207000+00:00         26194007   \n",
       "..                               ...              ...   \n",
       "411 2019-12-19 17:19:41.790000+00:00         25405525   \n",
       "412 2019-11-25 06:40:40.727000+00:00         24006218   \n",
       "413 2019-12-16 17:07:47.937000+00:00         25223784   \n",
       "414 2019-12-18 15:47:52.817000+00:00         25338771   \n",
       "415 2019-12-03 04:52:40.643000+00:00         24437208   \n",
       "416 2019-10-16 08:41:11.233000+00:00         22035172   \n",
       "417 2019-11-28 04:05:31.357000+00:00         24184322   \n",
       "418 2019-11-24 07:43:40.010000+00:00         23954881   \n",
       "419 2019-12-19 23:50:06.093000+00:00         25417570   \n",
       "420 2019-12-20 00:04:09.247000+00:00         25418377   \n",
       "421 2019-10-23 07:06:33.833000+00:00         22407183   \n",
       "422 2019-10-23 10:42:08.463000+00:00         22416731   \n",
       "423 2019-10-21 18:59:52.307000+00:00         22323375   \n",
       "424 2019-11-16 11:31:56.340000+00:00         23553824   \n",
       "425 2019-11-07 15:43:41.367000+00:00         23146128   \n",
       "426 2019-10-24 15:27:52.147000+00:00         22494203   \n",
       "427 2019-12-19 12:41:58.910000+00:00         25392273   \n",
       "428 2019-12-18 19:46:17.547000+00:00         25347371   \n",
       "429 2019-12-22 20:01:13.610000+00:00         25546541   \n",
       "430 2019-12-05 20:36:36.697000+00:00         24610874   \n",
       "431 2019-12-28 13:49:48.527000+00:00         25858812   \n",
       "432 2019-12-16 19:15:03.453000+00:00         25228735   \n",
       "433 2019-12-17 16:51:22.490000+00:00         25282348   \n",
       "434 2019-12-17 14:39:04.333000+00:00         25276519   \n",
       "435 2019-12-17 11:20:49.217000+00:00         25266432   \n",
       "436 2019-12-07 08:58:38.147000+00:00         24681733   \n",
       "437 2019-12-06 08:42:59.507000+00:00         24635449   \n",
       "438 2020-01-12 06:59:06.383000+00:00         26732923   \n",
       "439 2019-12-15 20:24:57.320000+00:00         25170494   \n",
       "440 2019-11-29 04:54:12.713000+00:00         24234339   \n",
       "\n",
       "                                                 title  totalComments  \\\n",
       "0                                ASHRAE: Half and Half             73   \n",
       "1          🔌⚡ASHRAE -Start Here: A GENTLE Introduction            200   \n",
       "2                                      EDA for ASHRAE              48   \n",
       "3                  ASHRAE: Training LGBM by meter type             57   \n",
       "4         ASHRAE- KFold LightGBM - without leak (1.08)             44   \n",
       "5                     ASHRAE: Leak Validation and more             22   \n",
       "6                           ASHRAE: Divide and Conquer             20   \n",
       "7                            ASHRAE: Leak Data Station             34   \n",
       "8    ASHRAE Leak Validation BruteForce Heuristic Se...             26   \n",
       "9                   ASHRAE: EDA + FE + LightGBM (1.12)             47   \n",
       "10                Simple Exploration Notebook - ASHRAE             24   \n",
       "11      Ashrae: simple data cleanup (LB 1.08 no leaks)             43   \n",
       "12                              ASHRAE-Stacking Method             12   \n",
       "13     Ashrae Energy Prediction using Stratified KFold             18   \n",
       "14                                    4 ASHRAE blended             13   \n",
       "15                       ⚡🔌ASHRAE - LigthGBM simple FE             67   \n",
       "16         Shapley Values for Feature selection ASHRAE             18   \n",
       "17                       ASHRAE: Highway Kernel Route2              0   \n",
       "18           Starter EDA and Feature selection ASHRAE3             29   \n",
       "19                           ASHRAE Catboost Regressor              8   \n",
       "20                          ASHRAE - Data minification              4   \n",
       "21      ASHRAE - UCF Spider and EDA (Full Test Labels)             16   \n",
       "22      ASHRAE - Great Energy Predictor III- EDA&Model             26   \n",
       "23                                   ASHRAE - Catboost             10   \n",
       "24   ASHRAE: Maybe this can make public LB some use...             13   \n",
       "25             ASHRAE: feather format for fast loading             10   \n",
       "26                                 ASHRAE - CV options             15   \n",
       "27                         ASHRAE:1.1 to 1.06 with UCL              6   \n",
       "28                              ASHRAE - Baseline LGBM              0   \n",
       "29                                   ASHRAE 3 LightGBM              8   \n",
       "..                                                 ...            ...   \n",
       "411                                         eda_python              0   \n",
       "412                                   Ashare Light GBM              0   \n",
       "413                                           training              0   \n",
       "414                            Energy usage prediction              0   \n",
       "415                                             101-v1              0   \n",
       "416                  [chunk] To handle Very Lerge Data              0   \n",
       "417                                 Energy Consumption              0   \n",
       "418                                         prediction              0   \n",
       "419                                          My kernel              0   \n",
       "420                              Kullipojad submission              0   \n",
       "421                                  How low can we go              0   \n",
       "422                                   kernel3a89971bf9              0   \n",
       "423       Main EDA and relationships between variables              0   \n",
       "424                                    Beginner Kernel              0   \n",
       "425  building_metadata [primary_use] to one_hot_vector              0   \n",
       "426                             fastai v2 Starter Code              1   \n",
       "427                  Bland NN on PP + Leaks Train + FE              0   \n",
       "428                 NN on PP + Leaks Train + FE Fold 1              0   \n",
       "429         Baseline Preprocessing + Leaks Train + FE               0   \n",
       "430                             Baseline Preprocessing              0   \n",
       "431      Aligned Timestamp - LGBM by meter type < 1.09              0   \n",
       "432              LGBM on PP + Leaks Train + FE  Fold 1              0   \n",
       "433                               LGBM on Leaks Fold 1              0   \n",
       "434                Bland LGBM on PP + Leaks Train + FE              0   \n",
       "435                                Bland LGBM on Leaks              0   \n",
       "436                                   Bland LGBM Folds              0   \n",
       "437                                        LGBM Fold 1              0   \n",
       "438                                       In depth EDA              0   \n",
       "439                                             101-v3              0   \n",
       "440                      Competitions are Rock'n' Roll              1   \n",
       "\n",
       "     totalForks  totalScripts  totalViews  totalVotes  versionNumber  \n",
       "0             0             0           0         364              3  \n",
       "1             0             0           0         756             49  \n",
       "2             0             0           0         386             17  \n",
       "3             0             0           0         279             23  \n",
       "4             0             0           0         220              2  \n",
       "5             0             0           0         131              9  \n",
       "6             0             0           0         125              7  \n",
       "7             0             0           0         146             10  \n",
       "8             0             0           0         106              4  \n",
       "9             0             0           0         126             32  \n",
       "10            0             0           0         163             11  \n",
       "11            0             0           0         200              2  \n",
       "12            0             0           0          41              2  \n",
       "13            0             0           0          74             14  \n",
       "14            0             0           0          32              7  \n",
       "15            0             0           0          68             27  \n",
       "16            0             0           0          85              3  \n",
       "17            0             0           0          48              6  \n",
       "18            0             0           0         215              6  \n",
       "19            0             0           0          31              3  \n",
       "20            0             0           0          46              5  \n",
       "21            0             0           0         152              3  \n",
       "22            0             0           0          79             90  \n",
       "23            0             0           0          29              5  \n",
       "24            0             0           0          85              6  \n",
       "25            0             0           0          76              2  \n",
       "26            0             0           0          59              3  \n",
       "27            0             0           0          31              5  \n",
       "28            0             0           0          28              4  \n",
       "29            0             0           0          22             13  \n",
       "..          ...           ...         ...         ...            ...  \n",
       "411           0             0           0           0              5  \n",
       "412           0             0           0           0              3  \n",
       "413           0             0           0           0             37  \n",
       "414           0             0           0           0             12  \n",
       "415           0             0           0           0              4  \n",
       "416           0             0           0           0              2  \n",
       "417           0             0           0           0              1  \n",
       "418           0             0           0           0             37  \n",
       "419           0             0           0           0              2  \n",
       "420           0             0           0           0              1  \n",
       "421           0             0           0           0              2  \n",
       "422           0             0           0           0              1  \n",
       "423           0             0           0           0              1  \n",
       "424           0             0           0           0              1  \n",
       "425           0             0           0           0              4  \n",
       "426           0             0           0           0              1  \n",
       "427           0             0           0           0              7  \n",
       "428           0             0           0           0              6  \n",
       "429           0             0           0           0              7  \n",
       "430           0             0           0           0              3  \n",
       "431           0             0           0           0              1  \n",
       "432           0             0           0           0              4  \n",
       "433           0             0           0           0              4  \n",
       "434           0             0           0           0              6  \n",
       "435           0             0           0           0              3  \n",
       "436           0             0           0           0              2  \n",
       "437           0             0           0           0              3  \n",
       "438           0             0           0           0              9  \n",
       "439           0             0           0           0              6  \n",
       "440           0             0           0           0              2  \n",
       "\n",
       "[441 rows x 42 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get the json data via webAPI\n",
    "df_notebooks = pd.read_json('https://www.kaggle.com/kernels.json?search=ASHRAE&pageSize=1000')\n",
    "\n",
    "#Handle datetime columns\n",
    "df_notebooks['scriptVersionDateCreated'] = pd.to_datetime(df_notebooks['scriptVersionDateCreated'])\n",
    "\n",
    "df_notebooks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clean notebooks data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>scriptUrl</th>\n",
       "      <th>tags</th>\n",
       "      <th>data</th>\n",
       "      <th>languageName</th>\n",
       "      <th>bestPublicScore</th>\n",
       "      <th>isGpuEnabled</th>\n",
       "      <th>lastRunExecutionTimeSeconds</th>\n",
       "      <th>medal</th>\n",
       "      <th>totalComments</th>\n",
       "      <th>totalForks</th>\n",
       "      <th>totalViews</th>\n",
       "      <th>totalVotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASHRAE: Half and Half</td>\n",
       "      <td>/rohanrao/ashrae-half-and-half</td>\n",
       "      <td>[beginner, gradient boosting, regression, star...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.100</td>\n",
       "      <td>False</td>\n",
       "      <td>3115</td>\n",
       "      <td>gold</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>🔌⚡ASHRAE -Start Here: A GENTLE Introduction</td>\n",
       "      <td>/caesarlupum/ashrae-start-here-a-gentle-introd...</td>\n",
       "      <td>[beginner, data cleaning, data visualization, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>861</td>\n",
       "      <td>gold</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EDA for ASHRAE</td>\n",
       "      <td>/nroman/eda-for-ashrae</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>779</td>\n",
       "      <td>gold</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASHRAE: Training LGBM by meter type</td>\n",
       "      <td>/corochann/ashrae-training-lgbm-by-meter-type</td>\n",
       "      <td>[tutorial, ensembling, feature engineering, gr...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.121</td>\n",
       "      <td>False</td>\n",
       "      <td>3382</td>\n",
       "      <td>gold</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ASHRAE- KFold LightGBM - without leak (1.08)</td>\n",
       "      <td>/aitude/ashrae-kfold-lightgbm-without-leak-1-08</td>\n",
       "      <td>[data cleaning, ensembling, feature engineerin...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>3830</td>\n",
       "      <td>gold</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ASHRAE: Leak Validation and more</td>\n",
       "      <td>/yamsam/ashrae-leak-validation-and-more</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>0.990</td>\n",
       "      <td>False</td>\n",
       "      <td>524</td>\n",
       "      <td>gold</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ASHRAE: Divide and Conquer</td>\n",
       "      <td>/rohanrao/ashrae-divide-and-conquer</td>\n",
       "      <td>[beginner, gradient boosting, regression, star...</td>\n",
       "      <td>[ASHRAE leak data, ASHRAE - Great Energy Predi...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.040</td>\n",
       "      <td>False</td>\n",
       "      <td>2281</td>\n",
       "      <td>gold</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ASHRAE: Leak Data Station</td>\n",
       "      <td>/yamsam/ashrae-leak-data-station</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>93</td>\n",
       "      <td>gold</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ASHRAE Leak Validation BruteForce Heuristic Se...</td>\n",
       "      <td>/khoongweihao/ashrae-leak-validation-bruteforc...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>0.970</td>\n",
       "      <td>False</td>\n",
       "      <td>2623</td>\n",
       "      <td>gold</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ASHRAE: EDA + FE + LightGBM (1.12)</td>\n",
       "      <td>/kaushal2896/ashrae-eda-fe-lightgbm-1-12</td>\n",
       "      <td>[beginner, eda, data visualization, starter co...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.120</td>\n",
       "      <td>False</td>\n",
       "      <td>2070</td>\n",
       "      <td>gold</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Simple Exploration Notebook - ASHRAE</td>\n",
       "      <td>/sudalairajkumar/simple-exploration-notebook-a...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>113</td>\n",
       "      <td>gold</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ashrae: simple data cleanup (LB 1.08 no leaks)</td>\n",
       "      <td>/purist1024/ashrae-simple-data-cleanup-lb-1-08...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>816</td>\n",
       "      <td>gold</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ASHRAE-Stacking Method</td>\n",
       "      <td>/grapestone5321/ashrae-stacking-method</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE_Ensembling_1, ASHRAE - Great Energy Pr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>1926</td>\n",
       "      <td>silver</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Ashrae Energy Prediction using Stratified KFold</td>\n",
       "      <td>/roydatascience/ashrae-energy-prediction-using...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[[Private Datasource], ASHRAE - Great Energy P...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.074</td>\n",
       "      <td>False</td>\n",
       "      <td>25702</td>\n",
       "      <td>gold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4 ASHRAE blended</td>\n",
       "      <td>/hmendonca/4-ashrae-blended</td>\n",
       "      <td>[ensembling, nan, nan, nan, nan]</td>\n",
       "      <td>[subs20191106, ASHRAE - Great Energy Predictor...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>476</td>\n",
       "      <td>silver</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>⚡🔌ASHRAE - LigthGBM simple FE</td>\n",
       "      <td>/caesarlupum/ashrae-ligthgbm-simple-fe</td>\n",
       "      <td>[tutorial, beginner, data cleaning, feature en...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.210</td>\n",
       "      <td>False</td>\n",
       "      <td>2019</td>\n",
       "      <td>silver</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shapley Values for Feature selection ASHRAE</td>\n",
       "      <td>/hmendonca/shapley-values-for-feature-selectio...</td>\n",
       "      <td>[tutorial, data cleaning, data visualization, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.230</td>\n",
       "      <td>False</td>\n",
       "      <td>5887</td>\n",
       "      <td>gold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ASHRAE: Highway Kernel Route2</td>\n",
       "      <td>/yamsam/ashrae-highway-kernel-route2</td>\n",
       "      <td>[tutorial, beginner, starter code, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.030</td>\n",
       "      <td>False</td>\n",
       "      <td>3047</td>\n",
       "      <td>silver</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Starter EDA and Feature selection ASHRAE3</td>\n",
       "      <td>/hmendonca/starter-eda-and-feature-selection-a...</td>\n",
       "      <td>[data visualization, feature engineering, regr...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.240</td>\n",
       "      <td>False</td>\n",
       "      <td>28194</td>\n",
       "      <td>gold</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ASHRAE Catboost Regressor</td>\n",
       "      <td>/bejeweled/ashrae-catboost-regressor</td>\n",
       "      <td>[beginner, feature engineering, tabular data, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.350</td>\n",
       "      <td>True</td>\n",
       "      <td>27179</td>\n",
       "      <td>silver</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ASHRAE - Data minification</td>\n",
       "      <td>/kyakovlev/ashrae-data-minification</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>206</td>\n",
       "      <td>silver</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ASHRAE - UCF Spider and EDA (Full Test Labels)</td>\n",
       "      <td>/gunesevitan/ashrae-ucf-spider-and-eda-full-te...</td>\n",
       "      <td>[beginner, eda, data cleaning, data visualizat...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>1175</td>\n",
       "      <td>gold</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ASHRAE - Great Energy Predictor III- EDA&amp;Model</td>\n",
       "      <td>/kulkarnivishwanath/ashrae-great-energy-predic...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.103</td>\n",
       "      <td>False</td>\n",
       "      <td>11156</td>\n",
       "      <td>silver</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ASHRAE - Catboost</td>\n",
       "      <td>/kyakovlev/ashrae-catboost</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.230</td>\n",
       "      <td>True</td>\n",
       "      <td>9472</td>\n",
       "      <td>silver</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ASHRAE: Maybe this can make public LB some use...</td>\n",
       "      <td>/wuliaokaola/ashrae-maybe-this-can-make-public...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>396</td>\n",
       "      <td>gold</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ASHRAE: feather format for fast loading</td>\n",
       "      <td>/corochann/ashrae-feather-format-for-fast-loading</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>90</td>\n",
       "      <td>silver</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ASHRAE - CV options</td>\n",
       "      <td>/kyakovlev/ashrae-cv-options</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6350</td>\n",
       "      <td>silver</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ASHRAE:1.1 to 1.06 with UCL</td>\n",
       "      <td>/yixinchen1/ashrae-1-1-to-1-06-with-ucl</td>\n",
       "      <td>[utility script, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.060</td>\n",
       "      <td>False</td>\n",
       "      <td>1518</td>\n",
       "      <td>silver</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ASHRAE - Baseline LGBM</td>\n",
       "      <td>/kyakovlev/ashrae-baseline-lgbm</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.360</td>\n",
       "      <td>False</td>\n",
       "      <td>14336</td>\n",
       "      <td>silver</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ASHRAE 3 LightGBM</td>\n",
       "      <td>/hiteshsom/ashrae-3-lightgbm</td>\n",
       "      <td>[feature engineering, gradient boosting, start...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.110</td>\n",
       "      <td>False</td>\n",
       "      <td>2854</td>\n",
       "      <td>bronze</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>data_analysis_feature_engineering</td>\n",
       "      <td>/olivermkr/data-analysis-feature-engineering</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>293</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>ASHRAE - EDA</td>\n",
       "      <td>/trehansalil1/ashrae-eda</td>\n",
       "      <td>[tutorial, beginner, data visualization, start...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>721</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>eda_python</td>\n",
       "      <td>/namratakpatil/eda-python</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>162</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>Ashare Light GBM</td>\n",
       "      <td>/srbestha/ashare-light-gbm</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.290</td>\n",
       "      <td>False</td>\n",
       "      <td>8048</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>training</td>\n",
       "      <td>/patelatharva/training</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6921</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>Energy usage prediction</td>\n",
       "      <td>/snthibaud/energy-usage-prediction</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.875</td>\n",
       "      <td>False</td>\n",
       "      <td>943</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>[chunk] To handle Very Lerge Data</td>\n",
       "      <td>/kaerunantoka/chunk-to-handle-very-lerge-data</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>327</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>Energy Consumption</td>\n",
       "      <td>/shukla84manish/energy-consumption</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.180</td>\n",
       "      <td>False</td>\n",
       "      <td>1312</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>prediction</td>\n",
       "      <td>/patelatharva/prediction</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.150</td>\n",
       "      <td>False</td>\n",
       "      <td>11826</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>My kernel</td>\n",
       "      <td>/amangeldysh/my-kernel</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6610</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>Kullipojad submission</td>\n",
       "      <td>/screaminglordbyron/kullipojad-submission</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>18</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>How low can we go</td>\n",
       "      <td>/teeyee314/how-low-can-we-go</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, [Private...</td>\n",
       "      <td>Python</td>\n",
       "      <td>2.130</td>\n",
       "      <td>False</td>\n",
       "      <td>1285</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>kernel3a89971bf9</td>\n",
       "      <td>/matsushin/kernel3a89971bf9</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>397</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>Main EDA and relationships between variables</td>\n",
       "      <td>/robertobianco/main-eda-and-relationships-betw...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>Beginner Kernel</td>\n",
       "      <td>/dufault77/beginner-kernel</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>18</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>building_metadata [primary_use] to one_hot_vector</td>\n",
       "      <td>/alexzy/building-metadata-primary-use-to-one-h...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>14</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>fastai v2 Starter Code</td>\n",
       "      <td>/dhakshiin1601/fastai-v2-starter-code</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>117</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>Bland NN on PP + Leaks Train + FE</td>\n",
       "      <td>/vladimirsydor/bland-nn-on-pp-leaks-train-fe</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>314</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>NN on PP + Leaks Train + FE Fold 1</td>\n",
       "      <td>/vladimirsydor/nn-on-pp-leaks-train-fe-fold-1</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>20948</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>Baseline Preprocessing + Leaks Train + FE</td>\n",
       "      <td>/vladimirsydor/baseline-preprocessing-leaks-tr...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LeakAggr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>825</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>Baseline Preprocessing</td>\n",
       "      <td>/vladimirsydor/baseline-preprocessing</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>615</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>Aligned Timestamp - LGBM by meter type &lt; 1.09</td>\n",
       "      <td>/teeyee314/aligned-timestamp-lgbm-by-meter-typ...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[UCF building energy consumption, ASHRAE - Gre...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>5892</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>LGBM on PP + Leaks Train + FE  Fold 1</td>\n",
       "      <td>/vladimirsydor/lgbm-on-pp-leaks-train-fe-fold-1</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>21075</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>LGBM on Leaks Fold 1</td>\n",
       "      <td>/vladimirsydor/lgbm-on-leaks-fold-1</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, [Private...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>19008</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>Bland LGBM on PP + Leaks Train + FE</td>\n",
       "      <td>/vladimirsydor/bland-lgbm-on-pp-leaks-train-fe</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM on ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>411</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>Bland LGBM on Leaks</td>\n",
       "      <td>/vladimirsydor/bland-lgbm-on-leaks</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM on ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>539</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>Bland LGBM Folds</td>\n",
       "      <td>/vladimirsydor/bland-lgbm-folds</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM Fol...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.070</td>\n",
       "      <td>False</td>\n",
       "      <td>452</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>LGBM Fold 1</td>\n",
       "      <td>/vladimirsydor/lgbm-fold-1</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>17021</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>In depth EDA</td>\n",
       "      <td>/hozhen/in-depth-eda</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>3696</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Competitions are Rock'n' Roll</td>\n",
       "      <td>/mannuyaar/competitions-are-rock-n-roll</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[Santa's Workshop Tour 2019, nan, nan, nan, na...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>23</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>424 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 title  \\\n",
       "0                                ASHRAE: Half and Half   \n",
       "1          🔌⚡ASHRAE -Start Here: A GENTLE Introduction   \n",
       "2                                      EDA for ASHRAE    \n",
       "3                  ASHRAE: Training LGBM by meter type   \n",
       "4         ASHRAE- KFold LightGBM - without leak (1.08)   \n",
       "5                     ASHRAE: Leak Validation and more   \n",
       "6                           ASHRAE: Divide and Conquer   \n",
       "7                            ASHRAE: Leak Data Station   \n",
       "8    ASHRAE Leak Validation BruteForce Heuristic Se...   \n",
       "9                   ASHRAE: EDA + FE + LightGBM (1.12)   \n",
       "10                Simple Exploration Notebook - ASHRAE   \n",
       "11      Ashrae: simple data cleanup (LB 1.08 no leaks)   \n",
       "12                              ASHRAE-Stacking Method   \n",
       "13     Ashrae Energy Prediction using Stratified KFold   \n",
       "14                                    4 ASHRAE blended   \n",
       "15                       ⚡🔌ASHRAE - LigthGBM simple FE   \n",
       "16         Shapley Values for Feature selection ASHRAE   \n",
       "17                       ASHRAE: Highway Kernel Route2   \n",
       "18           Starter EDA and Feature selection ASHRAE3   \n",
       "19                           ASHRAE Catboost Regressor   \n",
       "20                          ASHRAE - Data minification   \n",
       "21      ASHRAE - UCF Spider and EDA (Full Test Labels)   \n",
       "22      ASHRAE - Great Energy Predictor III- EDA&Model   \n",
       "23                                   ASHRAE - Catboost   \n",
       "24   ASHRAE: Maybe this can make public LB some use...   \n",
       "25             ASHRAE: feather format for fast loading   \n",
       "26                                 ASHRAE - CV options   \n",
       "27                         ASHRAE:1.1 to 1.06 with UCL   \n",
       "28                              ASHRAE - Baseline LGBM   \n",
       "29                                   ASHRAE 3 LightGBM   \n",
       "..                                                 ...   \n",
       "409                  data_analysis_feature_engineering   \n",
       "410                                       ASHRAE - EDA   \n",
       "411                                         eda_python   \n",
       "412                                   Ashare Light GBM   \n",
       "413                                           training   \n",
       "414                            Energy usage prediction   \n",
       "416                  [chunk] To handle Very Lerge Data   \n",
       "417                                 Energy Consumption   \n",
       "418                                         prediction   \n",
       "419                                          My kernel   \n",
       "420                              Kullipojad submission   \n",
       "421                                  How low can we go   \n",
       "422                                   kernel3a89971bf9   \n",
       "423       Main EDA and relationships between variables   \n",
       "424                                    Beginner Kernel   \n",
       "425  building_metadata [primary_use] to one_hot_vector   \n",
       "426                             fastai v2 Starter Code   \n",
       "427                  Bland NN on PP + Leaks Train + FE   \n",
       "428                 NN on PP + Leaks Train + FE Fold 1   \n",
       "429         Baseline Preprocessing + Leaks Train + FE    \n",
       "430                             Baseline Preprocessing   \n",
       "431      Aligned Timestamp - LGBM by meter type < 1.09   \n",
       "432              LGBM on PP + Leaks Train + FE  Fold 1   \n",
       "433                               LGBM on Leaks Fold 1   \n",
       "434                Bland LGBM on PP + Leaks Train + FE   \n",
       "435                                Bland LGBM on Leaks   \n",
       "436                                   Bland LGBM Folds   \n",
       "437                                        LGBM Fold 1   \n",
       "438                                       In depth EDA   \n",
       "440                      Competitions are Rock'n' Roll   \n",
       "\n",
       "                                             scriptUrl  \\\n",
       "0                       /rohanrao/ashrae-half-and-half   \n",
       "1    /caesarlupum/ashrae-start-here-a-gentle-introd...   \n",
       "2                               /nroman/eda-for-ashrae   \n",
       "3        /corochann/ashrae-training-lgbm-by-meter-type   \n",
       "4      /aitude/ashrae-kfold-lightgbm-without-leak-1-08   \n",
       "5              /yamsam/ashrae-leak-validation-and-more   \n",
       "6                  /rohanrao/ashrae-divide-and-conquer   \n",
       "7                     /yamsam/ashrae-leak-data-station   \n",
       "8    /khoongweihao/ashrae-leak-validation-bruteforc...   \n",
       "9             /kaushal2896/ashrae-eda-fe-lightgbm-1-12   \n",
       "10   /sudalairajkumar/simple-exploration-notebook-a...   \n",
       "11   /purist1024/ashrae-simple-data-cleanup-lb-1-08...   \n",
       "12              /grapestone5321/ashrae-stacking-method   \n",
       "13   /roydatascience/ashrae-energy-prediction-using...   \n",
       "14                         /hmendonca/4-ashrae-blended   \n",
       "15              /caesarlupum/ashrae-ligthgbm-simple-fe   \n",
       "16   /hmendonca/shapley-values-for-feature-selectio...   \n",
       "17                /yamsam/ashrae-highway-kernel-route2   \n",
       "18   /hmendonca/starter-eda-and-feature-selection-a...   \n",
       "19                /bejeweled/ashrae-catboost-regressor   \n",
       "20                 /kyakovlev/ashrae-data-minification   \n",
       "21   /gunesevitan/ashrae-ucf-spider-and-eda-full-te...   \n",
       "22   /kulkarnivishwanath/ashrae-great-energy-predic...   \n",
       "23                          /kyakovlev/ashrae-catboost   \n",
       "24   /wuliaokaola/ashrae-maybe-this-can-make-public...   \n",
       "25   /corochann/ashrae-feather-format-for-fast-loading   \n",
       "26                        /kyakovlev/ashrae-cv-options   \n",
       "27             /yixinchen1/ashrae-1-1-to-1-06-with-ucl   \n",
       "28                     /kyakovlev/ashrae-baseline-lgbm   \n",
       "29                        /hiteshsom/ashrae-3-lightgbm   \n",
       "..                                                 ...   \n",
       "409       /olivermkr/data-analysis-feature-engineering   \n",
       "410                           /trehansalil1/ashrae-eda   \n",
       "411                          /namratakpatil/eda-python   \n",
       "412                         /srbestha/ashare-light-gbm   \n",
       "413                             /patelatharva/training   \n",
       "414                 /snthibaud/energy-usage-prediction   \n",
       "416      /kaerunantoka/chunk-to-handle-very-lerge-data   \n",
       "417                 /shukla84manish/energy-consumption   \n",
       "418                           /patelatharva/prediction   \n",
       "419                             /amangeldysh/my-kernel   \n",
       "420          /screaminglordbyron/kullipojad-submission   \n",
       "421                       /teeyee314/how-low-can-we-go   \n",
       "422                        /matsushin/kernel3a89971bf9   \n",
       "423  /robertobianco/main-eda-and-relationships-betw...   \n",
       "424                         /dufault77/beginner-kernel   \n",
       "425  /alexzy/building-metadata-primary-use-to-one-h...   \n",
       "426              /dhakshiin1601/fastai-v2-starter-code   \n",
       "427       /vladimirsydor/bland-nn-on-pp-leaks-train-fe   \n",
       "428      /vladimirsydor/nn-on-pp-leaks-train-fe-fold-1   \n",
       "429  /vladimirsydor/baseline-preprocessing-leaks-tr...   \n",
       "430              /vladimirsydor/baseline-preprocessing   \n",
       "431  /teeyee314/aligned-timestamp-lgbm-by-meter-typ...   \n",
       "432    /vladimirsydor/lgbm-on-pp-leaks-train-fe-fold-1   \n",
       "433                /vladimirsydor/lgbm-on-leaks-fold-1   \n",
       "434     /vladimirsydor/bland-lgbm-on-pp-leaks-train-fe   \n",
       "435                 /vladimirsydor/bland-lgbm-on-leaks   \n",
       "436                    /vladimirsydor/bland-lgbm-folds   \n",
       "437                         /vladimirsydor/lgbm-fold-1   \n",
       "438                               /hozhen/in-depth-eda   \n",
       "440            /mannuyaar/competitions-are-rock-n-roll   \n",
       "\n",
       "                                                  tags  \\\n",
       "0    [beginner, gradient boosting, regression, star...   \n",
       "1    [beginner, data cleaning, data visualization, ...   \n",
       "2                            [nan, nan, nan, nan, nan]   \n",
       "3    [tutorial, ensembling, feature engineering, gr...   \n",
       "4    [data cleaning, ensembling, feature engineerin...   \n",
       "5                            [nan, nan, nan, nan, nan]   \n",
       "6    [beginner, gradient boosting, regression, star...   \n",
       "7                            [nan, nan, nan, nan, nan]   \n",
       "8                            [nan, nan, nan, nan, nan]   \n",
       "9    [beginner, eda, data visualization, starter co...   \n",
       "10                           [nan, nan, nan, nan, nan]   \n",
       "11                           [nan, nan, nan, nan, nan]   \n",
       "12                           [nan, nan, nan, nan, nan]   \n",
       "13                           [nan, nan, nan, nan, nan]   \n",
       "14                    [ensembling, nan, nan, nan, nan]   \n",
       "15   [tutorial, beginner, data cleaning, feature en...   \n",
       "16   [tutorial, data cleaning, data visualization, ...   \n",
       "17        [tutorial, beginner, starter code, nan, nan]   \n",
       "18   [data visualization, feature engineering, regr...   \n",
       "19   [beginner, feature engineering, tabular data, ...   \n",
       "20                           [nan, nan, nan, nan, nan]   \n",
       "21   [beginner, eda, data cleaning, data visualizat...   \n",
       "22                           [nan, nan, nan, nan, nan]   \n",
       "23                           [nan, nan, nan, nan, nan]   \n",
       "24                           [nan, nan, nan, nan, nan]   \n",
       "25                           [nan, nan, nan, nan, nan]   \n",
       "26                           [nan, nan, nan, nan, nan]   \n",
       "27                [utility script, nan, nan, nan, nan]   \n",
       "28                           [nan, nan, nan, nan, nan]   \n",
       "29   [feature engineering, gradient boosting, start...   \n",
       "..                                                 ...   \n",
       "409                          [nan, nan, nan, nan, nan]   \n",
       "410  [tutorial, beginner, data visualization, start...   \n",
       "411                          [nan, nan, nan, nan, nan]   \n",
       "412                          [nan, nan, nan, nan, nan]   \n",
       "413                          [nan, nan, nan, nan, nan]   \n",
       "414                          [nan, nan, nan, nan, nan]   \n",
       "416                          [nan, nan, nan, nan, nan]   \n",
       "417                          [nan, nan, nan, nan, nan]   \n",
       "418                          [nan, nan, nan, nan, nan]   \n",
       "419                          [nan, nan, nan, nan, nan]   \n",
       "420                          [nan, nan, nan, nan, nan]   \n",
       "421                          [nan, nan, nan, nan, nan]   \n",
       "422                          [nan, nan, nan, nan, nan]   \n",
       "423                          [nan, nan, nan, nan, nan]   \n",
       "424                          [nan, nan, nan, nan, nan]   \n",
       "425                          [nan, nan, nan, nan, nan]   \n",
       "426                          [nan, nan, nan, nan, nan]   \n",
       "427                          [nan, nan, nan, nan, nan]   \n",
       "428                          [nan, nan, nan, nan, nan]   \n",
       "429                          [nan, nan, nan, nan, nan]   \n",
       "430                          [nan, nan, nan, nan, nan]   \n",
       "431                          [nan, nan, nan, nan, nan]   \n",
       "432                          [nan, nan, nan, nan, nan]   \n",
       "433                          [nan, nan, nan, nan, nan]   \n",
       "434                          [nan, nan, nan, nan, nan]   \n",
       "435                          [nan, nan, nan, nan, nan]   \n",
       "436                          [nan, nan, nan, nan, nan]   \n",
       "437                          [nan, nan, nan, nan, nan]   \n",
       "438                          [nan, nan, nan, nan, nan]   \n",
       "440                          [nan, nan, nan, nan, nan]   \n",
       "\n",
       "                                                  data languageName  \\\n",
       "0    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "1    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "2    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "3    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "4    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "5    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "6    [ASHRAE leak data, ASHRAE - Great Energy Predi...       Python   \n",
       "7    [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "8    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "9    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "10   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "11   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "12   [ASHRAE_Ensembling_1, ASHRAE - Great Energy Pr...       Python   \n",
       "13   [[Private Datasource], ASHRAE - Great Energy P...       Python   \n",
       "14   [subs20191106, ASHRAE - Great Energy Predictor...       Python   \n",
       "15   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "16   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "17   [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "18   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "19   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "20   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "21   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "22   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "23   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "24   [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "25   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "26   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "27   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "28   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "29   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "..                                                 ...          ...   \n",
       "409  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "410  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "411  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "412  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "413  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "414  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "416  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "417  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "418  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "419  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "420  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "421  [ASHRAE - Great Energy Predictor III, [Private...       Python   \n",
       "422  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "423  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "424  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "425  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "426  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "427  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "428  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "429  [ASHRAE - Great Energy Predictor III, LeakAggr...       Python   \n",
       "430  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "431  [UCF building energy consumption, ASHRAE - Gre...       Python   \n",
       "432  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "433  [ASHRAE - Great Energy Predictor III, [Private...       Python   \n",
       "434  [ASHRAE - Great Energy Predictor III, LGBM on ...       Python   \n",
       "435  [ASHRAE - Great Energy Predictor III, LGBM on ...       Python   \n",
       "436  [ASHRAE - Great Energy Predictor III, LGBM Fol...       Python   \n",
       "437  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "438  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "440  [Santa's Workshop Tour 2019, nan, nan, nan, na...       Python   \n",
       "\n",
       "     bestPublicScore  isGpuEnabled  lastRunExecutionTimeSeconds   medal  \\\n",
       "0              1.100         False                         3115    gold   \n",
       "1                NaN         False                          861    gold   \n",
       "2                NaN         False                          779    gold   \n",
       "3              1.121         False                         3382    gold   \n",
       "4              1.080         False                         3830    gold   \n",
       "5              0.990         False                          524    gold   \n",
       "6              1.040         False                         2281    gold   \n",
       "7                NaN         False                           93    gold   \n",
       "8              0.970         False                         2623    gold   \n",
       "9              1.120         False                         2070    gold   \n",
       "10               NaN         False                          113    gold   \n",
       "11             1.080         False                          816    gold   \n",
       "12             1.090         False                         1926  silver   \n",
       "13             1.074         False                        25702    gold   \n",
       "14             1.090         False                          476  silver   \n",
       "15             1.210         False                         2019  silver   \n",
       "16             1.230         False                         5887    gold   \n",
       "17             1.030         False                         3047  silver   \n",
       "18             1.240         False                        28194    gold   \n",
       "19             1.350          True                        27179  silver   \n",
       "20               NaN         False                          206  silver   \n",
       "21               NaN          True                         1175    gold   \n",
       "22             1.103         False                        11156  silver   \n",
       "23             1.230          True                         9472  silver   \n",
       "24             1.010         False                          396    gold   \n",
       "25               NaN         False                           90  silver   \n",
       "26               NaN         False                         6350  silver   \n",
       "27             1.060         False                         1518  silver   \n",
       "28             1.360         False                        14336  silver   \n",
       "29             1.110         False                         2854  bronze   \n",
       "..               ...           ...                          ...     ...   \n",
       "409              NaN         False                          293    None   \n",
       "410              NaN         False                          721    None   \n",
       "411              NaN         False                          162    None   \n",
       "412            1.290         False                         8048    None   \n",
       "413              NaN         False                         6921    None   \n",
       "414            1.875         False                          943    None   \n",
       "416              NaN         False                          327    None   \n",
       "417            1.180         False                         1312    None   \n",
       "418            1.150         False                        11826    None   \n",
       "419              NaN         False                         6610    None   \n",
       "420              NaN         False                           18    None   \n",
       "421            2.130         False                         1285    None   \n",
       "422              NaN         False                          397    None   \n",
       "423              NaN         False                           50    None   \n",
       "424              NaN         False                           18    None   \n",
       "425              NaN         False                           14    None   \n",
       "426              NaN          True                          117    None   \n",
       "427              NaN         False                          314    None   \n",
       "428              NaN         False                        20948    None   \n",
       "429              NaN         False                          825    None   \n",
       "430              NaN         False                          615    None   \n",
       "431              NaN         False                         5892    None   \n",
       "432              NaN         False                        21075    None   \n",
       "433              NaN         False                        19008    None   \n",
       "434              NaN         False                          411    None   \n",
       "435            1.010         False                          539    None   \n",
       "436            1.070         False                          452    None   \n",
       "437              NaN         False                        17021    None   \n",
       "438              NaN         False                         3696    None   \n",
       "440              NaN         False                           23    None   \n",
       "\n",
       "     totalComments  totalForks  totalViews  totalVotes  \n",
       "0               73           0           0         364  \n",
       "1              200           0           0         756  \n",
       "2               48           0           0         386  \n",
       "3               57           0           0         279  \n",
       "4               44           0           0         220  \n",
       "5               22           0           0         131  \n",
       "6               20           0           0         125  \n",
       "7               34           0           0         146  \n",
       "8               26           0           0         106  \n",
       "9               47           0           0         126  \n",
       "10              24           0           0         163  \n",
       "11              43           0           0         200  \n",
       "12              12           0           0          41  \n",
       "13              18           0           0          74  \n",
       "14              13           0           0          32  \n",
       "15              67           0           0          68  \n",
       "16              18           0           0          85  \n",
       "17               0           0           0          48  \n",
       "18              29           0           0         215  \n",
       "19               8           0           0          31  \n",
       "20               4           0           0          46  \n",
       "21              16           0           0         152  \n",
       "22              26           0           0          79  \n",
       "23              10           0           0          29  \n",
       "24              13           0           0          85  \n",
       "25              10           0           0          76  \n",
       "26              15           0           0          59  \n",
       "27               6           0           0          31  \n",
       "28               0           0           0          28  \n",
       "29               8           0           0          22  \n",
       "..             ...         ...         ...         ...  \n",
       "409              0           0           0           0  \n",
       "410              0           0           0           0  \n",
       "411              0           0           0           0  \n",
       "412              0           0           0           0  \n",
       "413              0           0           0           0  \n",
       "414              0           0           0           0  \n",
       "416              0           0           0           0  \n",
       "417              0           0           0           0  \n",
       "418              0           0           0           0  \n",
       "419              0           0           0           0  \n",
       "420              0           0           0           0  \n",
       "421              0           0           0           0  \n",
       "422              0           0           0           0  \n",
       "423              0           0           0           0  \n",
       "424              0           0           0           0  \n",
       "425              0           0           0           0  \n",
       "426              1           0           0           0  \n",
       "427              0           0           0           0  \n",
       "428              0           0           0           0  \n",
       "429              0           0           0           0  \n",
       "430              0           0           0           0  \n",
       "431              0           0           0           0  \n",
       "432              0           0           0           0  \n",
       "433              0           0           0           0  \n",
       "434              0           0           0           0  \n",
       "435              0           0           0           0  \n",
       "436              0           0           0           0  \n",
       "437              0           0           0           0  \n",
       "438              0           0           0           0  \n",
       "440              1           0           0           0  \n",
       "\n",
       "[424 rows x 13 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get column of tags\n",
    "idx_item = 0\n",
    "while True:\n",
    "    try:\n",
    "        df_notebooks = pd.concat([df_notebooks, df_notebooks['categories'].apply(pd.Series)[idx_item].apply(pd.Series)['name']], axis=1)\n",
    "        idx_item = idx_item+1\n",
    "    except:\n",
    "        break\n",
    "df_notebooks['tags'] = pd.Series((df_notebooks['name'].values.tolist()))\n",
    "df_notebooks = df_notebooks.drop('name', axis=1)\n",
    "\n",
    "idx_item = 0\n",
    "while True:\n",
    "    try:\n",
    "        df_notebooks = pd.concat([df_notebooks, df_notebooks['dataSources'].apply(pd.Series)[idx_item].apply(pd.Series)['name']], axis=1)\n",
    "        idx_item = idx_item+1\n",
    "    except:\n",
    "        break\n",
    "df_notebooks['data'] = pd.Series((df_notebooks['name'].values.tolist()))\n",
    "df_notebooks = df_notebooks.drop('name', axis=1)\n",
    "\n",
    "#Filtering: only notebooks\n",
    "df_notebooks = df_notebooks[df_notebooks['isNotebook']==True]\n",
    "\n",
    "#Leave useful columns(meta)\n",
    "df_notebooks = df_notebooks[['title','scriptUrl','tags','data','languageName','bestPublicScore'\n",
    "                             ,'isGpuEnabled','lastRunExecutionTimeSeconds','medal','totalComments', \n",
    "                             'totalForks', 'totalViews', 'totalVotes']]\n",
    "df_notebooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>scriptUrl</th>\n",
       "      <th>tags</th>\n",
       "      <th>data</th>\n",
       "      <th>languageName</th>\n",
       "      <th>bestPublicScore</th>\n",
       "      <th>isGpuEnabled</th>\n",
       "      <th>lastRunExecutionTimeSeconds</th>\n",
       "      <th>medal</th>\n",
       "      <th>totalComments</th>\n",
       "      <th>totalForks</th>\n",
       "      <th>totalViews</th>\n",
       "      <th>totalVotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASHRAE: Half and Half</td>\n",
       "      <td>https://www.kaggle.com/rohanrao/ashrae-half-an...</td>\n",
       "      <td>[beginner, gradient boosting, regression, star...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.100</td>\n",
       "      <td>False</td>\n",
       "      <td>3115</td>\n",
       "      <td>gold</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>🔌⚡ASHRAE -Start Here: A GENTLE Introduction</td>\n",
       "      <td>https://www.kaggle.com/caesarlupum/ashrae-star...</td>\n",
       "      <td>[beginner, data cleaning, data visualization, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>861</td>\n",
       "      <td>gold</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EDA for ASHRAE</td>\n",
       "      <td>https://www.kaggle.com/nroman/eda-for-ashrae</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>779</td>\n",
       "      <td>gold</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASHRAE: Training LGBM by meter type</td>\n",
       "      <td>https://www.kaggle.com/corochann/ashrae-traini...</td>\n",
       "      <td>[tutorial, ensembling, feature engineering, gr...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.121</td>\n",
       "      <td>False</td>\n",
       "      <td>3382</td>\n",
       "      <td>gold</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ASHRAE- KFold LightGBM - without leak (1.08)</td>\n",
       "      <td>https://www.kaggle.com/aitude/ashrae-kfold-lig...</td>\n",
       "      <td>[data cleaning, ensembling, feature engineerin...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>3830</td>\n",
       "      <td>gold</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ASHRAE: Leak Validation and more</td>\n",
       "      <td>https://www.kaggle.com/yamsam/ashrae-leak-vali...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>0.990</td>\n",
       "      <td>False</td>\n",
       "      <td>524</td>\n",
       "      <td>gold</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ASHRAE: Divide and Conquer</td>\n",
       "      <td>https://www.kaggle.com/rohanrao/ashrae-divide-...</td>\n",
       "      <td>[beginner, gradient boosting, regression, star...</td>\n",
       "      <td>[ASHRAE leak data, ASHRAE - Great Energy Predi...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.040</td>\n",
       "      <td>False</td>\n",
       "      <td>2281</td>\n",
       "      <td>gold</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ASHRAE: Leak Data Station</td>\n",
       "      <td>https://www.kaggle.com/yamsam/ashrae-leak-data...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>93</td>\n",
       "      <td>gold</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ASHRAE Leak Validation BruteForce Heuristic Se...</td>\n",
       "      <td>https://www.kaggle.com/khoongweihao/ashrae-lea...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>0.970</td>\n",
       "      <td>False</td>\n",
       "      <td>2623</td>\n",
       "      <td>gold</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ASHRAE: EDA + FE + LightGBM (1.12)</td>\n",
       "      <td>https://www.kaggle.com/kaushal2896/ashrae-eda-...</td>\n",
       "      <td>[beginner, eda, data visualization, starter co...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.120</td>\n",
       "      <td>False</td>\n",
       "      <td>2070</td>\n",
       "      <td>gold</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Simple Exploration Notebook - ASHRAE</td>\n",
       "      <td>https://www.kaggle.com/sudalairajkumar/simple-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>113</td>\n",
       "      <td>gold</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ashrae: simple data cleanup (LB 1.08 no leaks)</td>\n",
       "      <td>https://www.kaggle.com/purist1024/ashrae-simpl...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>816</td>\n",
       "      <td>gold</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ASHRAE-Stacking Method</td>\n",
       "      <td>https://www.kaggle.com/grapestone5321/ashrae-s...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE_Ensembling_1, ASHRAE - Great Energy Pr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>1926</td>\n",
       "      <td>silver</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Ashrae Energy Prediction using Stratified KFold</td>\n",
       "      <td>https://www.kaggle.com/roydatascience/ashrae-e...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[[Private Datasource], ASHRAE - Great Energy P...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.074</td>\n",
       "      <td>False</td>\n",
       "      <td>25702</td>\n",
       "      <td>gold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4 ASHRAE blended</td>\n",
       "      <td>https://www.kaggle.com/hmendonca/4-ashrae-blended</td>\n",
       "      <td>[ensembling, nan, nan, nan, nan]</td>\n",
       "      <td>[subs20191106, ASHRAE - Great Energy Predictor...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>476</td>\n",
       "      <td>silver</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>⚡🔌ASHRAE - LigthGBM simple FE</td>\n",
       "      <td>https://www.kaggle.com/caesarlupum/ashrae-ligt...</td>\n",
       "      <td>[tutorial, beginner, data cleaning, feature en...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.210</td>\n",
       "      <td>False</td>\n",
       "      <td>2019</td>\n",
       "      <td>silver</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shapley Values for Feature selection ASHRAE</td>\n",
       "      <td>https://www.kaggle.com/hmendonca/shapley-value...</td>\n",
       "      <td>[tutorial, data cleaning, data visualization, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.230</td>\n",
       "      <td>False</td>\n",
       "      <td>5887</td>\n",
       "      <td>gold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ASHRAE: Highway Kernel Route2</td>\n",
       "      <td>https://www.kaggle.com/yamsam/ashrae-highway-k...</td>\n",
       "      <td>[tutorial, beginner, starter code, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.030</td>\n",
       "      <td>False</td>\n",
       "      <td>3047</td>\n",
       "      <td>silver</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Starter EDA and Feature selection ASHRAE3</td>\n",
       "      <td>https://www.kaggle.com/hmendonca/starter-eda-a...</td>\n",
       "      <td>[data visualization, feature engineering, regr...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.240</td>\n",
       "      <td>False</td>\n",
       "      <td>28194</td>\n",
       "      <td>gold</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ASHRAE Catboost Regressor</td>\n",
       "      <td>https://www.kaggle.com/bejeweled/ashrae-catboo...</td>\n",
       "      <td>[beginner, feature engineering, tabular data, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.350</td>\n",
       "      <td>True</td>\n",
       "      <td>27179</td>\n",
       "      <td>silver</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ASHRAE - Data minification</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-data-m...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>206</td>\n",
       "      <td>silver</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ASHRAE - UCF Spider and EDA (Full Test Labels)</td>\n",
       "      <td>https://www.kaggle.com/gunesevitan/ashrae-ucf-...</td>\n",
       "      <td>[beginner, eda, data cleaning, data visualizat...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>1175</td>\n",
       "      <td>gold</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ASHRAE - Great Energy Predictor III- EDA&amp;Model</td>\n",
       "      <td>https://www.kaggle.com/kulkarnivishwanath/ashr...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.103</td>\n",
       "      <td>False</td>\n",
       "      <td>11156</td>\n",
       "      <td>silver</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ASHRAE - Catboost</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-catboost</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.230</td>\n",
       "      <td>True</td>\n",
       "      <td>9472</td>\n",
       "      <td>silver</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ASHRAE: Maybe this can make public LB some use...</td>\n",
       "      <td>https://www.kaggle.com/wuliaokaola/ashrae-mayb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>396</td>\n",
       "      <td>gold</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ASHRAE: feather format for fast loading</td>\n",
       "      <td>https://www.kaggle.com/corochann/ashrae-feathe...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>90</td>\n",
       "      <td>silver</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ASHRAE - CV options</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-cv-opt...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6350</td>\n",
       "      <td>silver</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ASHRAE:1.1 to 1.06 with UCL</td>\n",
       "      <td>https://www.kaggle.com/yixinchen1/ashrae-1-1-t...</td>\n",
       "      <td>[utility script, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.060</td>\n",
       "      <td>False</td>\n",
       "      <td>1518</td>\n",
       "      <td>silver</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ASHRAE - Baseline LGBM</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-baseli...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.360</td>\n",
       "      <td>False</td>\n",
       "      <td>14336</td>\n",
       "      <td>silver</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ASHRAE 3 LightGBM</td>\n",
       "      <td>https://www.kaggle.com/hiteshsom/ashrae-3-ligh...</td>\n",
       "      <td>[feature engineering, gradient boosting, start...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.110</td>\n",
       "      <td>False</td>\n",
       "      <td>2854</td>\n",
       "      <td>bronze</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>data_analysis_feature_engineering</td>\n",
       "      <td>https://www.kaggle.com/olivermkr/data-analysis...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>293</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>ASHRAE - EDA</td>\n",
       "      <td>https://www.kaggle.com/trehansalil1/ashrae-eda</td>\n",
       "      <td>[tutorial, beginner, data visualization, start...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>721</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>eda_python</td>\n",
       "      <td>https://www.kaggle.com/namratakpatil/eda-python</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>162</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>Ashare Light GBM</td>\n",
       "      <td>https://www.kaggle.com/srbestha/ashare-light-gbm</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.290</td>\n",
       "      <td>False</td>\n",
       "      <td>8048</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>training</td>\n",
       "      <td>https://www.kaggle.com/patelatharva/training</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6921</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>Energy usage prediction</td>\n",
       "      <td>https://www.kaggle.com/snthibaud/energy-usage-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.875</td>\n",
       "      <td>False</td>\n",
       "      <td>943</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>[chunk] To handle Very Lerge Data</td>\n",
       "      <td>https://www.kaggle.com/kaerunantoka/chunk-to-h...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>327</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>Energy Consumption</td>\n",
       "      <td>https://www.kaggle.com/shukla84manish/energy-c...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.180</td>\n",
       "      <td>False</td>\n",
       "      <td>1312</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>prediction</td>\n",
       "      <td>https://www.kaggle.com/patelatharva/prediction</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.150</td>\n",
       "      <td>False</td>\n",
       "      <td>11826</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>My kernel</td>\n",
       "      <td>https://www.kaggle.com/amangeldysh/my-kernel</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6610</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>Kullipojad submission</td>\n",
       "      <td>https://www.kaggle.com/screaminglordbyron/kull...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>18</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>How low can we go</td>\n",
       "      <td>https://www.kaggle.com/teeyee314/how-low-can-w...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, [Private...</td>\n",
       "      <td>Python</td>\n",
       "      <td>2.130</td>\n",
       "      <td>False</td>\n",
       "      <td>1285</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>kernel3a89971bf9</td>\n",
       "      <td>https://www.kaggle.com/matsushin/kernel3a89971bf9</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>397</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>Main EDA and relationships between variables</td>\n",
       "      <td>https://www.kaggle.com/robertobianco/main-eda-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>Beginner Kernel</td>\n",
       "      <td>https://www.kaggle.com/dufault77/beginner-kernel</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>18</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>building_metadata [primary_use] to one_hot_vector</td>\n",
       "      <td>https://www.kaggle.com/alexzy/building-metadat...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>14</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>fastai v2 Starter Code</td>\n",
       "      <td>https://www.kaggle.com/dhakshiin1601/fastai-v2...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>117</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>Bland NN on PP + Leaks Train + FE</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-nn-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>314</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>NN on PP + Leaks Train + FE Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/nn-on-pp-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>20948</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>Baseline Preprocessing + Leaks Train + FE</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/baseline-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LeakAggr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>825</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>Baseline Preprocessing</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/baseline-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>615</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>Aligned Timestamp - LGBM by meter type &lt; 1.09</td>\n",
       "      <td>https://www.kaggle.com/teeyee314/aligned-times...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[UCF building energy consumption, ASHRAE - Gre...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>5892</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>LGBM on PP + Leaks Train + FE  Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/lgbm-on-p...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>21075</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>LGBM on Leaks Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/lgbm-on-l...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, [Private...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>19008</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>Bland LGBM on PP + Leaks Train + FE</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-lgb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM on ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>411</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>Bland LGBM on Leaks</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-lgb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM on ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>539</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>Bland LGBM Folds</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-lgb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM Fol...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.070</td>\n",
       "      <td>False</td>\n",
       "      <td>452</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>LGBM Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/lgbm-fold-1</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>17021</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>In depth EDA</td>\n",
       "      <td>https://www.kaggle.com/hozhen/in-depth-eda</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>3696</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Competitions are Rock'n' Roll</td>\n",
       "      <td>https://www.kaggle.com/mannuyaar/competitions-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[Santa's Workshop Tour 2019, nan, nan, nan, na...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>23</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>424 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 title  \\\n",
       "0                                ASHRAE: Half and Half   \n",
       "1          🔌⚡ASHRAE -Start Here: A GENTLE Introduction   \n",
       "2                                      EDA for ASHRAE    \n",
       "3                  ASHRAE: Training LGBM by meter type   \n",
       "4         ASHRAE- KFold LightGBM - without leak (1.08)   \n",
       "5                     ASHRAE: Leak Validation and more   \n",
       "6                           ASHRAE: Divide and Conquer   \n",
       "7                            ASHRAE: Leak Data Station   \n",
       "8    ASHRAE Leak Validation BruteForce Heuristic Se...   \n",
       "9                   ASHRAE: EDA + FE + LightGBM (1.12)   \n",
       "10                Simple Exploration Notebook - ASHRAE   \n",
       "11      Ashrae: simple data cleanup (LB 1.08 no leaks)   \n",
       "12                              ASHRAE-Stacking Method   \n",
       "13     Ashrae Energy Prediction using Stratified KFold   \n",
       "14                                    4 ASHRAE blended   \n",
       "15                       ⚡🔌ASHRAE - LigthGBM simple FE   \n",
       "16         Shapley Values for Feature selection ASHRAE   \n",
       "17                       ASHRAE: Highway Kernel Route2   \n",
       "18           Starter EDA and Feature selection ASHRAE3   \n",
       "19                           ASHRAE Catboost Regressor   \n",
       "20                          ASHRAE - Data minification   \n",
       "21      ASHRAE - UCF Spider and EDA (Full Test Labels)   \n",
       "22      ASHRAE - Great Energy Predictor III- EDA&Model   \n",
       "23                                   ASHRAE - Catboost   \n",
       "24   ASHRAE: Maybe this can make public LB some use...   \n",
       "25             ASHRAE: feather format for fast loading   \n",
       "26                                 ASHRAE - CV options   \n",
       "27                         ASHRAE:1.1 to 1.06 with UCL   \n",
       "28                              ASHRAE - Baseline LGBM   \n",
       "29                                   ASHRAE 3 LightGBM   \n",
       "..                                                 ...   \n",
       "409                  data_analysis_feature_engineering   \n",
       "410                                       ASHRAE - EDA   \n",
       "411                                         eda_python   \n",
       "412                                   Ashare Light GBM   \n",
       "413                                           training   \n",
       "414                            Energy usage prediction   \n",
       "416                  [chunk] To handle Very Lerge Data   \n",
       "417                                 Energy Consumption   \n",
       "418                                         prediction   \n",
       "419                                          My kernel   \n",
       "420                              Kullipojad submission   \n",
       "421                                  How low can we go   \n",
       "422                                   kernel3a89971bf9   \n",
       "423       Main EDA and relationships between variables   \n",
       "424                                    Beginner Kernel   \n",
       "425  building_metadata [primary_use] to one_hot_vector   \n",
       "426                             fastai v2 Starter Code   \n",
       "427                  Bland NN on PP + Leaks Train + FE   \n",
       "428                 NN on PP + Leaks Train + FE Fold 1   \n",
       "429         Baseline Preprocessing + Leaks Train + FE    \n",
       "430                             Baseline Preprocessing   \n",
       "431      Aligned Timestamp - LGBM by meter type < 1.09   \n",
       "432              LGBM on PP + Leaks Train + FE  Fold 1   \n",
       "433                               LGBM on Leaks Fold 1   \n",
       "434                Bland LGBM on PP + Leaks Train + FE   \n",
       "435                                Bland LGBM on Leaks   \n",
       "436                                   Bland LGBM Folds   \n",
       "437                                        LGBM Fold 1   \n",
       "438                                       In depth EDA   \n",
       "440                      Competitions are Rock'n' Roll   \n",
       "\n",
       "                                             scriptUrl  \\\n",
       "0    https://www.kaggle.com/rohanrao/ashrae-half-an...   \n",
       "1    https://www.kaggle.com/caesarlupum/ashrae-star...   \n",
       "2         https://www.kaggle.com/nroman/eda-for-ashrae   \n",
       "3    https://www.kaggle.com/corochann/ashrae-traini...   \n",
       "4    https://www.kaggle.com/aitude/ashrae-kfold-lig...   \n",
       "5    https://www.kaggle.com/yamsam/ashrae-leak-vali...   \n",
       "6    https://www.kaggle.com/rohanrao/ashrae-divide-...   \n",
       "7    https://www.kaggle.com/yamsam/ashrae-leak-data...   \n",
       "8    https://www.kaggle.com/khoongweihao/ashrae-lea...   \n",
       "9    https://www.kaggle.com/kaushal2896/ashrae-eda-...   \n",
       "10   https://www.kaggle.com/sudalairajkumar/simple-...   \n",
       "11   https://www.kaggle.com/purist1024/ashrae-simpl...   \n",
       "12   https://www.kaggle.com/grapestone5321/ashrae-s...   \n",
       "13   https://www.kaggle.com/roydatascience/ashrae-e...   \n",
       "14   https://www.kaggle.com/hmendonca/4-ashrae-blended   \n",
       "15   https://www.kaggle.com/caesarlupum/ashrae-ligt...   \n",
       "16   https://www.kaggle.com/hmendonca/shapley-value...   \n",
       "17   https://www.kaggle.com/yamsam/ashrae-highway-k...   \n",
       "18   https://www.kaggle.com/hmendonca/starter-eda-a...   \n",
       "19   https://www.kaggle.com/bejeweled/ashrae-catboo...   \n",
       "20   https://www.kaggle.com/kyakovlev/ashrae-data-m...   \n",
       "21   https://www.kaggle.com/gunesevitan/ashrae-ucf-...   \n",
       "22   https://www.kaggle.com/kulkarnivishwanath/ashr...   \n",
       "23    https://www.kaggle.com/kyakovlev/ashrae-catboost   \n",
       "24   https://www.kaggle.com/wuliaokaola/ashrae-mayb...   \n",
       "25   https://www.kaggle.com/corochann/ashrae-feathe...   \n",
       "26   https://www.kaggle.com/kyakovlev/ashrae-cv-opt...   \n",
       "27   https://www.kaggle.com/yixinchen1/ashrae-1-1-t...   \n",
       "28   https://www.kaggle.com/kyakovlev/ashrae-baseli...   \n",
       "29   https://www.kaggle.com/hiteshsom/ashrae-3-ligh...   \n",
       "..                                                 ...   \n",
       "409  https://www.kaggle.com/olivermkr/data-analysis...   \n",
       "410     https://www.kaggle.com/trehansalil1/ashrae-eda   \n",
       "411    https://www.kaggle.com/namratakpatil/eda-python   \n",
       "412   https://www.kaggle.com/srbestha/ashare-light-gbm   \n",
       "413       https://www.kaggle.com/patelatharva/training   \n",
       "414  https://www.kaggle.com/snthibaud/energy-usage-...   \n",
       "416  https://www.kaggle.com/kaerunantoka/chunk-to-h...   \n",
       "417  https://www.kaggle.com/shukla84manish/energy-c...   \n",
       "418     https://www.kaggle.com/patelatharva/prediction   \n",
       "419       https://www.kaggle.com/amangeldysh/my-kernel   \n",
       "420  https://www.kaggle.com/screaminglordbyron/kull...   \n",
       "421  https://www.kaggle.com/teeyee314/how-low-can-w...   \n",
       "422  https://www.kaggle.com/matsushin/kernel3a89971bf9   \n",
       "423  https://www.kaggle.com/robertobianco/main-eda-...   \n",
       "424   https://www.kaggle.com/dufault77/beginner-kernel   \n",
       "425  https://www.kaggle.com/alexzy/building-metadat...   \n",
       "426  https://www.kaggle.com/dhakshiin1601/fastai-v2...   \n",
       "427  https://www.kaggle.com/vladimirsydor/bland-nn-...   \n",
       "428  https://www.kaggle.com/vladimirsydor/nn-on-pp-...   \n",
       "429  https://www.kaggle.com/vladimirsydor/baseline-...   \n",
       "430  https://www.kaggle.com/vladimirsydor/baseline-...   \n",
       "431  https://www.kaggle.com/teeyee314/aligned-times...   \n",
       "432  https://www.kaggle.com/vladimirsydor/lgbm-on-p...   \n",
       "433  https://www.kaggle.com/vladimirsydor/lgbm-on-l...   \n",
       "434  https://www.kaggle.com/vladimirsydor/bland-lgb...   \n",
       "435  https://www.kaggle.com/vladimirsydor/bland-lgb...   \n",
       "436  https://www.kaggle.com/vladimirsydor/bland-lgb...   \n",
       "437   https://www.kaggle.com/vladimirsydor/lgbm-fold-1   \n",
       "438         https://www.kaggle.com/hozhen/in-depth-eda   \n",
       "440  https://www.kaggle.com/mannuyaar/competitions-...   \n",
       "\n",
       "                                                  tags  \\\n",
       "0    [beginner, gradient boosting, regression, star...   \n",
       "1    [beginner, data cleaning, data visualization, ...   \n",
       "2                            [nan, nan, nan, nan, nan]   \n",
       "3    [tutorial, ensembling, feature engineering, gr...   \n",
       "4    [data cleaning, ensembling, feature engineerin...   \n",
       "5                            [nan, nan, nan, nan, nan]   \n",
       "6    [beginner, gradient boosting, regression, star...   \n",
       "7                            [nan, nan, nan, nan, nan]   \n",
       "8                            [nan, nan, nan, nan, nan]   \n",
       "9    [beginner, eda, data visualization, starter co...   \n",
       "10                           [nan, nan, nan, nan, nan]   \n",
       "11                           [nan, nan, nan, nan, nan]   \n",
       "12                           [nan, nan, nan, nan, nan]   \n",
       "13                           [nan, nan, nan, nan, nan]   \n",
       "14                    [ensembling, nan, nan, nan, nan]   \n",
       "15   [tutorial, beginner, data cleaning, feature en...   \n",
       "16   [tutorial, data cleaning, data visualization, ...   \n",
       "17        [tutorial, beginner, starter code, nan, nan]   \n",
       "18   [data visualization, feature engineering, regr...   \n",
       "19   [beginner, feature engineering, tabular data, ...   \n",
       "20                           [nan, nan, nan, nan, nan]   \n",
       "21   [beginner, eda, data cleaning, data visualizat...   \n",
       "22                           [nan, nan, nan, nan, nan]   \n",
       "23                           [nan, nan, nan, nan, nan]   \n",
       "24                           [nan, nan, nan, nan, nan]   \n",
       "25                           [nan, nan, nan, nan, nan]   \n",
       "26                           [nan, nan, nan, nan, nan]   \n",
       "27                [utility script, nan, nan, nan, nan]   \n",
       "28                           [nan, nan, nan, nan, nan]   \n",
       "29   [feature engineering, gradient boosting, start...   \n",
       "..                                                 ...   \n",
       "409                          [nan, nan, nan, nan, nan]   \n",
       "410  [tutorial, beginner, data visualization, start...   \n",
       "411                          [nan, nan, nan, nan, nan]   \n",
       "412                          [nan, nan, nan, nan, nan]   \n",
       "413                          [nan, nan, nan, nan, nan]   \n",
       "414                          [nan, nan, nan, nan, nan]   \n",
       "416                          [nan, nan, nan, nan, nan]   \n",
       "417                          [nan, nan, nan, nan, nan]   \n",
       "418                          [nan, nan, nan, nan, nan]   \n",
       "419                          [nan, nan, nan, nan, nan]   \n",
       "420                          [nan, nan, nan, nan, nan]   \n",
       "421                          [nan, nan, nan, nan, nan]   \n",
       "422                          [nan, nan, nan, nan, nan]   \n",
       "423                          [nan, nan, nan, nan, nan]   \n",
       "424                          [nan, nan, nan, nan, nan]   \n",
       "425                          [nan, nan, nan, nan, nan]   \n",
       "426                          [nan, nan, nan, nan, nan]   \n",
       "427                          [nan, nan, nan, nan, nan]   \n",
       "428                          [nan, nan, nan, nan, nan]   \n",
       "429                          [nan, nan, nan, nan, nan]   \n",
       "430                          [nan, nan, nan, nan, nan]   \n",
       "431                          [nan, nan, nan, nan, nan]   \n",
       "432                          [nan, nan, nan, nan, nan]   \n",
       "433                          [nan, nan, nan, nan, nan]   \n",
       "434                          [nan, nan, nan, nan, nan]   \n",
       "435                          [nan, nan, nan, nan, nan]   \n",
       "436                          [nan, nan, nan, nan, nan]   \n",
       "437                          [nan, nan, nan, nan, nan]   \n",
       "438                          [nan, nan, nan, nan, nan]   \n",
       "440                          [nan, nan, nan, nan, nan]   \n",
       "\n",
       "                                                  data languageName  \\\n",
       "0    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "1    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "2    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "3    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "4    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "5    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "6    [ASHRAE leak data, ASHRAE - Great Energy Predi...       Python   \n",
       "7    [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "8    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "9    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "10   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "11   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "12   [ASHRAE_Ensembling_1, ASHRAE - Great Energy Pr...       Python   \n",
       "13   [[Private Datasource], ASHRAE - Great Energy P...       Python   \n",
       "14   [subs20191106, ASHRAE - Great Energy Predictor...       Python   \n",
       "15   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "16   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "17   [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "18   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "19   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "20   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "21   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "22   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "23   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "24   [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "25   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "26   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "27   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "28   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "29   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "..                                                 ...          ...   \n",
       "409  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "410  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "411  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "412  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "413  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "414  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "416  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "417  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "418  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "419  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "420  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "421  [ASHRAE - Great Energy Predictor III, [Private...       Python   \n",
       "422  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "423  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "424  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "425  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "426  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "427  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "428  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "429  [ASHRAE - Great Energy Predictor III, LeakAggr...       Python   \n",
       "430  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "431  [UCF building energy consumption, ASHRAE - Gre...       Python   \n",
       "432  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "433  [ASHRAE - Great Energy Predictor III, [Private...       Python   \n",
       "434  [ASHRAE - Great Energy Predictor III, LGBM on ...       Python   \n",
       "435  [ASHRAE - Great Energy Predictor III, LGBM on ...       Python   \n",
       "436  [ASHRAE - Great Energy Predictor III, LGBM Fol...       Python   \n",
       "437  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "438  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "440  [Santa's Workshop Tour 2019, nan, nan, nan, na...       Python   \n",
       "\n",
       "     bestPublicScore  isGpuEnabled  lastRunExecutionTimeSeconds   medal  \\\n",
       "0              1.100         False                         3115    gold   \n",
       "1                NaN         False                          861    gold   \n",
       "2                NaN         False                          779    gold   \n",
       "3              1.121         False                         3382    gold   \n",
       "4              1.080         False                         3830    gold   \n",
       "5              0.990         False                          524    gold   \n",
       "6              1.040         False                         2281    gold   \n",
       "7                NaN         False                           93    gold   \n",
       "8              0.970         False                         2623    gold   \n",
       "9              1.120         False                         2070    gold   \n",
       "10               NaN         False                          113    gold   \n",
       "11             1.080         False                          816    gold   \n",
       "12             1.090         False                         1926  silver   \n",
       "13             1.074         False                        25702    gold   \n",
       "14             1.090         False                          476  silver   \n",
       "15             1.210         False                         2019  silver   \n",
       "16             1.230         False                         5887    gold   \n",
       "17             1.030         False                         3047  silver   \n",
       "18             1.240         False                        28194    gold   \n",
       "19             1.350          True                        27179  silver   \n",
       "20               NaN         False                          206  silver   \n",
       "21               NaN          True                         1175    gold   \n",
       "22             1.103         False                        11156  silver   \n",
       "23             1.230          True                         9472  silver   \n",
       "24             1.010         False                          396    gold   \n",
       "25               NaN         False                           90  silver   \n",
       "26               NaN         False                         6350  silver   \n",
       "27             1.060         False                         1518  silver   \n",
       "28             1.360         False                        14336  silver   \n",
       "29             1.110         False                         2854  bronze   \n",
       "..               ...           ...                          ...     ...   \n",
       "409              NaN         False                          293    None   \n",
       "410              NaN         False                          721    None   \n",
       "411              NaN         False                          162    None   \n",
       "412            1.290         False                         8048    None   \n",
       "413              NaN         False                         6921    None   \n",
       "414            1.875         False                          943    None   \n",
       "416              NaN         False                          327    None   \n",
       "417            1.180         False                         1312    None   \n",
       "418            1.150         False                        11826    None   \n",
       "419              NaN         False                         6610    None   \n",
       "420              NaN         False                           18    None   \n",
       "421            2.130         False                         1285    None   \n",
       "422              NaN         False                          397    None   \n",
       "423              NaN         False                           50    None   \n",
       "424              NaN         False                           18    None   \n",
       "425              NaN         False                           14    None   \n",
       "426              NaN          True                          117    None   \n",
       "427              NaN         False                          314    None   \n",
       "428              NaN         False                        20948    None   \n",
       "429              NaN         False                          825    None   \n",
       "430              NaN         False                          615    None   \n",
       "431              NaN         False                         5892    None   \n",
       "432              NaN         False                        21075    None   \n",
       "433              NaN         False                        19008    None   \n",
       "434              NaN         False                          411    None   \n",
       "435            1.010         False                          539    None   \n",
       "436            1.070         False                          452    None   \n",
       "437              NaN         False                        17021    None   \n",
       "438              NaN         False                         3696    None   \n",
       "440              NaN         False                           23    None   \n",
       "\n",
       "     totalComments  totalForks  totalViews  totalVotes  \n",
       "0               73           0           0         364  \n",
       "1              200           0           0         756  \n",
       "2               48           0           0         386  \n",
       "3               57           0           0         279  \n",
       "4               44           0           0         220  \n",
       "5               22           0           0         131  \n",
       "6               20           0           0         125  \n",
       "7               34           0           0         146  \n",
       "8               26           0           0         106  \n",
       "9               47           0           0         126  \n",
       "10              24           0           0         163  \n",
       "11              43           0           0         200  \n",
       "12              12           0           0          41  \n",
       "13              18           0           0          74  \n",
       "14              13           0           0          32  \n",
       "15              67           0           0          68  \n",
       "16              18           0           0          85  \n",
       "17               0           0           0          48  \n",
       "18              29           0           0         215  \n",
       "19               8           0           0          31  \n",
       "20               4           0           0          46  \n",
       "21              16           0           0         152  \n",
       "22              26           0           0          79  \n",
       "23              10           0           0          29  \n",
       "24              13           0           0          85  \n",
       "25              10           0           0          76  \n",
       "26              15           0           0          59  \n",
       "27               6           0           0          31  \n",
       "28               0           0           0          28  \n",
       "29               8           0           0          22  \n",
       "..             ...         ...         ...         ...  \n",
       "409              0           0           0           0  \n",
       "410              0           0           0           0  \n",
       "411              0           0           0           0  \n",
       "412              0           0           0           0  \n",
       "413              0           0           0           0  \n",
       "414              0           0           0           0  \n",
       "416              0           0           0           0  \n",
       "417              0           0           0           0  \n",
       "418              0           0           0           0  \n",
       "419              0           0           0           0  \n",
       "420              0           0           0           0  \n",
       "421              0           0           0           0  \n",
       "422              0           0           0           0  \n",
       "423              0           0           0           0  \n",
       "424              0           0           0           0  \n",
       "425              0           0           0           0  \n",
       "426              1           0           0           0  \n",
       "427              0           0           0           0  \n",
       "428              0           0           0           0  \n",
       "429              0           0           0           0  \n",
       "430              0           0           0           0  \n",
       "431              0           0           0           0  \n",
       "432              0           0           0           0  \n",
       "433              0           0           0           0  \n",
       "434              0           0           0           0  \n",
       "435              0           0           0           0  \n",
       "436              0           0           0           0  \n",
       "437              0           0           0           0  \n",
       "438              0           0           0           0  \n",
       "440              1           0           0           0  \n",
       "\n",
       "[424 rows x 13 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#combline for complete Url\n",
    "df_notebooks['scriptUrl'] = 'https://www.kaggle.com'+df_notebooks['scriptUrl']\n",
    "\n",
    "df_notebooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>scriptUrl</th>\n",
       "      <th>tags</th>\n",
       "      <th>data</th>\n",
       "      <th>languageName</th>\n",
       "      <th>bestPublicScore</th>\n",
       "      <th>isGpuEnabled</th>\n",
       "      <th>lastRunExecutionTimeSeconds</th>\n",
       "      <th>medal</th>\n",
       "      <th>totalComments</th>\n",
       "      <th>totalForks</th>\n",
       "      <th>totalViews</th>\n",
       "      <th>totalVotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASHRAE: Half and Half</td>\n",
       "      <td>https://www.kaggle.com/rohanrao/ashrae-half-an...</td>\n",
       "      <td>[beginner, gradient boosting, regression, star...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.100</td>\n",
       "      <td>False</td>\n",
       "      <td>3115</td>\n",
       "      <td>gold</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>🔌⚡ASHRAE -Start Here: A GENTLE Introduction</td>\n",
       "      <td>https://www.kaggle.com/caesarlupum/ashrae-star...</td>\n",
       "      <td>[beginner, data cleaning, data visualization, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>861</td>\n",
       "      <td>gold</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>EDA for ASHRAE</td>\n",
       "      <td>https://www.kaggle.com/nroman/eda-for-ashrae</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>779</td>\n",
       "      <td>gold</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASHRAE: Training LGBM by meter type</td>\n",
       "      <td>https://www.kaggle.com/corochann/ashrae-traini...</td>\n",
       "      <td>[tutorial, ensembling, feature engineering, gr...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.121</td>\n",
       "      <td>False</td>\n",
       "      <td>3382</td>\n",
       "      <td>gold</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ASHRAE- KFold LightGBM - without leak (1.08)</td>\n",
       "      <td>https://www.kaggle.com/aitude/ashrae-kfold-lig...</td>\n",
       "      <td>[data cleaning, ensembling, feature engineerin...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>3830</td>\n",
       "      <td>gold</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ASHRAE: Leak Validation and more</td>\n",
       "      <td>https://www.kaggle.com/yamsam/ashrae-leak-vali...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>0.990</td>\n",
       "      <td>False</td>\n",
       "      <td>524</td>\n",
       "      <td>gold</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ASHRAE: Divide and Conquer</td>\n",
       "      <td>https://www.kaggle.com/rohanrao/ashrae-divide-...</td>\n",
       "      <td>[beginner, gradient boosting, regression, star...</td>\n",
       "      <td>[ASHRAE leak data, ASHRAE - Great Energy Predi...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.040</td>\n",
       "      <td>False</td>\n",
       "      <td>2281</td>\n",
       "      <td>gold</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ASHRAE: Leak Data Station</td>\n",
       "      <td>https://www.kaggle.com/yamsam/ashrae-leak-data...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>93</td>\n",
       "      <td>gold</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ASHRAE Leak Validation BruteForce Heuristic Se...</td>\n",
       "      <td>https://www.kaggle.com/khoongweihao/ashrae-lea...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE: ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>0.970</td>\n",
       "      <td>False</td>\n",
       "      <td>2623</td>\n",
       "      <td>gold</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ASHRAE: EDA + FE + LightGBM (1.12)</td>\n",
       "      <td>https://www.kaggle.com/kaushal2896/ashrae-eda-...</td>\n",
       "      <td>[beginner, eda, data visualization, starter co...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.120</td>\n",
       "      <td>False</td>\n",
       "      <td>2070</td>\n",
       "      <td>gold</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Simple Exploration Notebook - ASHRAE</td>\n",
       "      <td>https://www.kaggle.com/sudalairajkumar/simple-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>113</td>\n",
       "      <td>gold</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ashrae: simple data cleanup (LB 1.08 no leaks)</td>\n",
       "      <td>https://www.kaggle.com/purist1024/ashrae-simpl...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.080</td>\n",
       "      <td>False</td>\n",
       "      <td>816</td>\n",
       "      <td>gold</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ASHRAE-Stacking Method</td>\n",
       "      <td>https://www.kaggle.com/grapestone5321/ashrae-s...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE_Ensembling_1, ASHRAE - Great Energy Pr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>1926</td>\n",
       "      <td>silver</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Ashrae Energy Prediction using Stratified KFold</td>\n",
       "      <td>https://www.kaggle.com/roydatascience/ashrae-e...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[[Private Datasource], ASHRAE - Great Energy P...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.074</td>\n",
       "      <td>False</td>\n",
       "      <td>25702</td>\n",
       "      <td>gold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4 ASHRAE blended</td>\n",
       "      <td>https://www.kaggle.com/hmendonca/4-ashrae-blended</td>\n",
       "      <td>[ensembling, nan, nan, nan, nan]</td>\n",
       "      <td>[subs20191106, ASHRAE - Great Energy Predictor...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.090</td>\n",
       "      <td>False</td>\n",
       "      <td>476</td>\n",
       "      <td>silver</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>⚡🔌ASHRAE - LigthGBM simple FE</td>\n",
       "      <td>https://www.kaggle.com/caesarlupum/ashrae-ligt...</td>\n",
       "      <td>[tutorial, beginner, data cleaning, feature en...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.210</td>\n",
       "      <td>False</td>\n",
       "      <td>2019</td>\n",
       "      <td>silver</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shapley Values for Feature selection ASHRAE</td>\n",
       "      <td>https://www.kaggle.com/hmendonca/shapley-value...</td>\n",
       "      <td>[tutorial, data cleaning, data visualization, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.230</td>\n",
       "      <td>False</td>\n",
       "      <td>5887</td>\n",
       "      <td>gold</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ASHRAE: Highway Kernel Route2</td>\n",
       "      <td>https://www.kaggle.com/yamsam/ashrae-highway-k...</td>\n",
       "      <td>[tutorial, beginner, starter code, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.030</td>\n",
       "      <td>False</td>\n",
       "      <td>3047</td>\n",
       "      <td>silver</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Starter EDA and Feature selection ASHRAE3</td>\n",
       "      <td>https://www.kaggle.com/hmendonca/starter-eda-a...</td>\n",
       "      <td>[data visualization, feature engineering, regr...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.240</td>\n",
       "      <td>False</td>\n",
       "      <td>28194</td>\n",
       "      <td>gold</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ASHRAE Catboost Regressor</td>\n",
       "      <td>https://www.kaggle.com/bejeweled/ashrae-catboo...</td>\n",
       "      <td>[beginner, feature engineering, tabular data, ...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.350</td>\n",
       "      <td>True</td>\n",
       "      <td>27179</td>\n",
       "      <td>silver</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ASHRAE - Data minification</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-data-m...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>206</td>\n",
       "      <td>silver</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ASHRAE - UCF Spider and EDA (Full Test Labels)</td>\n",
       "      <td>https://www.kaggle.com/gunesevitan/ashrae-ucf-...</td>\n",
       "      <td>[beginner, eda, data cleaning, data visualizat...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>1175</td>\n",
       "      <td>gold</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ASHRAE - Great Energy Predictor III- EDA&amp;Model</td>\n",
       "      <td>https://www.kaggle.com/kulkarnivishwanath/ashr...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.103</td>\n",
       "      <td>False</td>\n",
       "      <td>11156</td>\n",
       "      <td>silver</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ASHRAE - Catboost</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-catboost</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.230</td>\n",
       "      <td>True</td>\n",
       "      <td>9472</td>\n",
       "      <td>silver</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ASHRAE: Maybe this can make public LB some use...</td>\n",
       "      <td>https://www.kaggle.com/wuliaokaola/ashrae-mayb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASU buildings energy consumption, ASHRAE - Gr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>396</td>\n",
       "      <td>gold</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ASHRAE: feather format for fast loading</td>\n",
       "      <td>https://www.kaggle.com/corochann/ashrae-feathe...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>90</td>\n",
       "      <td>silver</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ASHRAE - CV options</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-cv-opt...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6350</td>\n",
       "      <td>silver</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ASHRAE:1.1 to 1.06 with UCL</td>\n",
       "      <td>https://www.kaggle.com/yixinchen1/ashrae-1-1-t...</td>\n",
       "      <td>[utility script, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.060</td>\n",
       "      <td>False</td>\n",
       "      <td>1518</td>\n",
       "      <td>silver</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ASHRAE - Baseline LGBM</td>\n",
       "      <td>https://www.kaggle.com/kyakovlev/ashrae-baseli...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, ASHRAE -...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.360</td>\n",
       "      <td>False</td>\n",
       "      <td>14336</td>\n",
       "      <td>silver</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ASHRAE 3 LightGBM</td>\n",
       "      <td>https://www.kaggle.com/hiteshsom/ashrae-3-ligh...</td>\n",
       "      <td>[feature engineering, gradient boosting, start...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.110</td>\n",
       "      <td>False</td>\n",
       "      <td>2854</td>\n",
       "      <td>bronze</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>kaggle competition DYTS</td>\n",
       "      <td>https://www.kaggle.com/tanyashtym/kaggle-compe...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>10040</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>data_analysis_feature_engineering</td>\n",
       "      <td>https://www.kaggle.com/olivermkr/data-analysis...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>293</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>ASHRAE - EDA</td>\n",
       "      <td>https://www.kaggle.com/trehansalil1/ashrae-eda</td>\n",
       "      <td>[tutorial, beginner, data visualization, start...</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>721</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>eda_python</td>\n",
       "      <td>https://www.kaggle.com/namratakpatil/eda-python</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>162</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>Ashare Light GBM</td>\n",
       "      <td>https://www.kaggle.com/srbestha/ashare-light-gbm</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.290</td>\n",
       "      <td>False</td>\n",
       "      <td>8048</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>training</td>\n",
       "      <td>https://www.kaggle.com/patelatharva/training</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6921</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Energy usage prediction</td>\n",
       "      <td>https://www.kaggle.com/snthibaud/energy-usage-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.875</td>\n",
       "      <td>False</td>\n",
       "      <td>943</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>[chunk] To handle Very Lerge Data</td>\n",
       "      <td>https://www.kaggle.com/kaerunantoka/chunk-to-h...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>327</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>Energy Consumption</td>\n",
       "      <td>https://www.kaggle.com/shukla84manish/energy-c...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.180</td>\n",
       "      <td>False</td>\n",
       "      <td>1312</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>prediction</td>\n",
       "      <td>https://www.kaggle.com/patelatharva/prediction</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.150</td>\n",
       "      <td>False</td>\n",
       "      <td>11826</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>My kernel</td>\n",
       "      <td>https://www.kaggle.com/amangeldysh/my-kernel</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>6610</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>Kullipojad submission</td>\n",
       "      <td>https://www.kaggle.com/screaminglordbyron/kull...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>18</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>How low can we go</td>\n",
       "      <td>https://www.kaggle.com/teeyee314/how-low-can-w...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, [Private...</td>\n",
       "      <td>Python</td>\n",
       "      <td>2.130</td>\n",
       "      <td>False</td>\n",
       "      <td>1285</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>kernel3a89971bf9</td>\n",
       "      <td>https://www.kaggle.com/matsushin/kernel3a89971bf9</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>397</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>Main EDA and relationships between variables</td>\n",
       "      <td>https://www.kaggle.com/robertobianco/main-eda-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>Beginner Kernel</td>\n",
       "      <td>https://www.kaggle.com/dufault77/beginner-kernel</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>18</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>building_metadata [primary_use] to one_hot_vector</td>\n",
       "      <td>https://www.kaggle.com/alexzy/building-metadat...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>14</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>fastai v2 Starter Code</td>\n",
       "      <td>https://www.kaggle.com/dhakshiin1601/fastai-v2...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>117</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>Bland NN on PP + Leaks Train + FE</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-nn-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>314</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>NN on PP + Leaks Train + FE Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/nn-on-pp-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>20948</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>Baseline Preprocessing + Leaks Train + FE</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/baseline-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LeakAggr...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>825</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>Baseline Preprocessing</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/baseline-...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>615</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>Aligned Timestamp - LGBM by meter type &lt; 1.09</td>\n",
       "      <td>https://www.kaggle.com/teeyee314/aligned-times...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[UCF building energy consumption, ASHRAE - Gre...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>5892</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>LGBM on PP + Leaks Train + FE  Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/lgbm-on-p...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>21075</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>LGBM on Leaks Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/lgbm-on-l...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, [Private...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>19008</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>Bland LGBM on PP + Leaks Train + FE</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-lgb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM on ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>411</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>Bland LGBM on Leaks</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-lgb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM on ...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.010</td>\n",
       "      <td>False</td>\n",
       "      <td>539</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>Bland LGBM Folds</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/bland-lgb...</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, LGBM Fol...</td>\n",
       "      <td>Python</td>\n",
       "      <td>1.070</td>\n",
       "      <td>False</td>\n",
       "      <td>452</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>LGBM Fold 1</td>\n",
       "      <td>https://www.kaggle.com/vladimirsydor/lgbm-fold-1</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, Baseline...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>17021</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>In depth EDA</td>\n",
       "      <td>https://www.kaggle.com/hozhen/in-depth-eda</td>\n",
       "      <td>[nan, nan, nan, nan, nan]</td>\n",
       "      <td>[ASHRAE - Great Energy Predictor III, nan, nan...</td>\n",
       "      <td>Python</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>3696</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>415 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 title  \\\n",
       "0                                ASHRAE: Half and Half   \n",
       "1          🔌⚡ASHRAE -Start Here: A GENTLE Introduction   \n",
       "2                                      EDA for ASHRAE    \n",
       "3                  ASHRAE: Training LGBM by meter type   \n",
       "4         ASHRAE- KFold LightGBM - without leak (1.08)   \n",
       "5                     ASHRAE: Leak Validation and more   \n",
       "6                           ASHRAE: Divide and Conquer   \n",
       "7                            ASHRAE: Leak Data Station   \n",
       "8    ASHRAE Leak Validation BruteForce Heuristic Se...   \n",
       "9                   ASHRAE: EDA + FE + LightGBM (1.12)   \n",
       "10                Simple Exploration Notebook - ASHRAE   \n",
       "11      Ashrae: simple data cleanup (LB 1.08 no leaks)   \n",
       "12                              ASHRAE-Stacking Method   \n",
       "13     Ashrae Energy Prediction using Stratified KFold   \n",
       "14                                    4 ASHRAE blended   \n",
       "15                       ⚡🔌ASHRAE - LigthGBM simple FE   \n",
       "16         Shapley Values for Feature selection ASHRAE   \n",
       "17                       ASHRAE: Highway Kernel Route2   \n",
       "18           Starter EDA and Feature selection ASHRAE3   \n",
       "19                           ASHRAE Catboost Regressor   \n",
       "20                          ASHRAE - Data minification   \n",
       "21      ASHRAE - UCF Spider and EDA (Full Test Labels)   \n",
       "22      ASHRAE - Great Energy Predictor III- EDA&Model   \n",
       "23                                   ASHRAE - Catboost   \n",
       "24   ASHRAE: Maybe this can make public LB some use...   \n",
       "25             ASHRAE: feather format for fast loading   \n",
       "26                                 ASHRAE - CV options   \n",
       "27                         ASHRAE:1.1 to 1.06 with UCL   \n",
       "28                              ASHRAE - Baseline LGBM   \n",
       "29                                   ASHRAE 3 LightGBM   \n",
       "..                                                 ...   \n",
       "385                           kaggle competition DYTS    \n",
       "386                  data_analysis_feature_engineering   \n",
       "387                                       ASHRAE - EDA   \n",
       "388                                         eda_python   \n",
       "389                                   Ashare Light GBM   \n",
       "390                                           training   \n",
       "391                            Energy usage prediction   \n",
       "392                  [chunk] To handle Very Lerge Data   \n",
       "393                                 Energy Consumption   \n",
       "394                                         prediction   \n",
       "395                                          My kernel   \n",
       "396                              Kullipojad submission   \n",
       "397                                  How low can we go   \n",
       "398                                   kernel3a89971bf9   \n",
       "399       Main EDA and relationships between variables   \n",
       "400                                    Beginner Kernel   \n",
       "401  building_metadata [primary_use] to one_hot_vector   \n",
       "402                             fastai v2 Starter Code   \n",
       "403                  Bland NN on PP + Leaks Train + FE   \n",
       "404                 NN on PP + Leaks Train + FE Fold 1   \n",
       "405         Baseline Preprocessing + Leaks Train + FE    \n",
       "406                             Baseline Preprocessing   \n",
       "407      Aligned Timestamp - LGBM by meter type < 1.09   \n",
       "408              LGBM on PP + Leaks Train + FE  Fold 1   \n",
       "409                               LGBM on Leaks Fold 1   \n",
       "410                Bland LGBM on PP + Leaks Train + FE   \n",
       "411                                Bland LGBM on Leaks   \n",
       "412                                   Bland LGBM Folds   \n",
       "413                                        LGBM Fold 1   \n",
       "414                                       In depth EDA   \n",
       "\n",
       "                                             scriptUrl  \\\n",
       "0    https://www.kaggle.com/rohanrao/ashrae-half-an...   \n",
       "1    https://www.kaggle.com/caesarlupum/ashrae-star...   \n",
       "2         https://www.kaggle.com/nroman/eda-for-ashrae   \n",
       "3    https://www.kaggle.com/corochann/ashrae-traini...   \n",
       "4    https://www.kaggle.com/aitude/ashrae-kfold-lig...   \n",
       "5    https://www.kaggle.com/yamsam/ashrae-leak-vali...   \n",
       "6    https://www.kaggle.com/rohanrao/ashrae-divide-...   \n",
       "7    https://www.kaggle.com/yamsam/ashrae-leak-data...   \n",
       "8    https://www.kaggle.com/khoongweihao/ashrae-lea...   \n",
       "9    https://www.kaggle.com/kaushal2896/ashrae-eda-...   \n",
       "10   https://www.kaggle.com/sudalairajkumar/simple-...   \n",
       "11   https://www.kaggle.com/purist1024/ashrae-simpl...   \n",
       "12   https://www.kaggle.com/grapestone5321/ashrae-s...   \n",
       "13   https://www.kaggle.com/roydatascience/ashrae-e...   \n",
       "14   https://www.kaggle.com/hmendonca/4-ashrae-blended   \n",
       "15   https://www.kaggle.com/caesarlupum/ashrae-ligt...   \n",
       "16   https://www.kaggle.com/hmendonca/shapley-value...   \n",
       "17   https://www.kaggle.com/yamsam/ashrae-highway-k...   \n",
       "18   https://www.kaggle.com/hmendonca/starter-eda-a...   \n",
       "19   https://www.kaggle.com/bejeweled/ashrae-catboo...   \n",
       "20   https://www.kaggle.com/kyakovlev/ashrae-data-m...   \n",
       "21   https://www.kaggle.com/gunesevitan/ashrae-ucf-...   \n",
       "22   https://www.kaggle.com/kulkarnivishwanath/ashr...   \n",
       "23    https://www.kaggle.com/kyakovlev/ashrae-catboost   \n",
       "24   https://www.kaggle.com/wuliaokaola/ashrae-mayb...   \n",
       "25   https://www.kaggle.com/corochann/ashrae-feathe...   \n",
       "26   https://www.kaggle.com/kyakovlev/ashrae-cv-opt...   \n",
       "27   https://www.kaggle.com/yixinchen1/ashrae-1-1-t...   \n",
       "28   https://www.kaggle.com/kyakovlev/ashrae-baseli...   \n",
       "29   https://www.kaggle.com/hiteshsom/ashrae-3-ligh...   \n",
       "..                                                 ...   \n",
       "385  https://www.kaggle.com/tanyashtym/kaggle-compe...   \n",
       "386  https://www.kaggle.com/olivermkr/data-analysis...   \n",
       "387     https://www.kaggle.com/trehansalil1/ashrae-eda   \n",
       "388    https://www.kaggle.com/namratakpatil/eda-python   \n",
       "389   https://www.kaggle.com/srbestha/ashare-light-gbm   \n",
       "390       https://www.kaggle.com/patelatharva/training   \n",
       "391  https://www.kaggle.com/snthibaud/energy-usage-...   \n",
       "392  https://www.kaggle.com/kaerunantoka/chunk-to-h...   \n",
       "393  https://www.kaggle.com/shukla84manish/energy-c...   \n",
       "394     https://www.kaggle.com/patelatharva/prediction   \n",
       "395       https://www.kaggle.com/amangeldysh/my-kernel   \n",
       "396  https://www.kaggle.com/screaminglordbyron/kull...   \n",
       "397  https://www.kaggle.com/teeyee314/how-low-can-w...   \n",
       "398  https://www.kaggle.com/matsushin/kernel3a89971bf9   \n",
       "399  https://www.kaggle.com/robertobianco/main-eda-...   \n",
       "400   https://www.kaggle.com/dufault77/beginner-kernel   \n",
       "401  https://www.kaggle.com/alexzy/building-metadat...   \n",
       "402  https://www.kaggle.com/dhakshiin1601/fastai-v2...   \n",
       "403  https://www.kaggle.com/vladimirsydor/bland-nn-...   \n",
       "404  https://www.kaggle.com/vladimirsydor/nn-on-pp-...   \n",
       "405  https://www.kaggle.com/vladimirsydor/baseline-...   \n",
       "406  https://www.kaggle.com/vladimirsydor/baseline-...   \n",
       "407  https://www.kaggle.com/teeyee314/aligned-times...   \n",
       "408  https://www.kaggle.com/vladimirsydor/lgbm-on-p...   \n",
       "409  https://www.kaggle.com/vladimirsydor/lgbm-on-l...   \n",
       "410  https://www.kaggle.com/vladimirsydor/bland-lgb...   \n",
       "411  https://www.kaggle.com/vladimirsydor/bland-lgb...   \n",
       "412  https://www.kaggle.com/vladimirsydor/bland-lgb...   \n",
       "413   https://www.kaggle.com/vladimirsydor/lgbm-fold-1   \n",
       "414         https://www.kaggle.com/hozhen/in-depth-eda   \n",
       "\n",
       "                                                  tags  \\\n",
       "0    [beginner, gradient boosting, regression, star...   \n",
       "1    [beginner, data cleaning, data visualization, ...   \n",
       "2                            [nan, nan, nan, nan, nan]   \n",
       "3    [tutorial, ensembling, feature engineering, gr...   \n",
       "4    [data cleaning, ensembling, feature engineerin...   \n",
       "5                            [nan, nan, nan, nan, nan]   \n",
       "6    [beginner, gradient boosting, regression, star...   \n",
       "7                            [nan, nan, nan, nan, nan]   \n",
       "8                            [nan, nan, nan, nan, nan]   \n",
       "9    [beginner, eda, data visualization, starter co...   \n",
       "10                           [nan, nan, nan, nan, nan]   \n",
       "11                           [nan, nan, nan, nan, nan]   \n",
       "12                           [nan, nan, nan, nan, nan]   \n",
       "13                           [nan, nan, nan, nan, nan]   \n",
       "14                    [ensembling, nan, nan, nan, nan]   \n",
       "15   [tutorial, beginner, data cleaning, feature en...   \n",
       "16   [tutorial, data cleaning, data visualization, ...   \n",
       "17        [tutorial, beginner, starter code, nan, nan]   \n",
       "18   [data visualization, feature engineering, regr...   \n",
       "19   [beginner, feature engineering, tabular data, ...   \n",
       "20                           [nan, nan, nan, nan, nan]   \n",
       "21   [beginner, eda, data cleaning, data visualizat...   \n",
       "22                           [nan, nan, nan, nan, nan]   \n",
       "23                           [nan, nan, nan, nan, nan]   \n",
       "24                           [nan, nan, nan, nan, nan]   \n",
       "25                           [nan, nan, nan, nan, nan]   \n",
       "26                           [nan, nan, nan, nan, nan]   \n",
       "27                [utility script, nan, nan, nan, nan]   \n",
       "28                           [nan, nan, nan, nan, nan]   \n",
       "29   [feature engineering, gradient boosting, start...   \n",
       "..                                                 ...   \n",
       "385                          [nan, nan, nan, nan, nan]   \n",
       "386                          [nan, nan, nan, nan, nan]   \n",
       "387  [tutorial, beginner, data visualization, start...   \n",
       "388                          [nan, nan, nan, nan, nan]   \n",
       "389                          [nan, nan, nan, nan, nan]   \n",
       "390                          [nan, nan, nan, nan, nan]   \n",
       "391                          [nan, nan, nan, nan, nan]   \n",
       "392                          [nan, nan, nan, nan, nan]   \n",
       "393                          [nan, nan, nan, nan, nan]   \n",
       "394                          [nan, nan, nan, nan, nan]   \n",
       "395                          [nan, nan, nan, nan, nan]   \n",
       "396                          [nan, nan, nan, nan, nan]   \n",
       "397                          [nan, nan, nan, nan, nan]   \n",
       "398                          [nan, nan, nan, nan, nan]   \n",
       "399                          [nan, nan, nan, nan, nan]   \n",
       "400                          [nan, nan, nan, nan, nan]   \n",
       "401                          [nan, nan, nan, nan, nan]   \n",
       "402                          [nan, nan, nan, nan, nan]   \n",
       "403                          [nan, nan, nan, nan, nan]   \n",
       "404                          [nan, nan, nan, nan, nan]   \n",
       "405                          [nan, nan, nan, nan, nan]   \n",
       "406                          [nan, nan, nan, nan, nan]   \n",
       "407                          [nan, nan, nan, nan, nan]   \n",
       "408                          [nan, nan, nan, nan, nan]   \n",
       "409                          [nan, nan, nan, nan, nan]   \n",
       "410                          [nan, nan, nan, nan, nan]   \n",
       "411                          [nan, nan, nan, nan, nan]   \n",
       "412                          [nan, nan, nan, nan, nan]   \n",
       "413                          [nan, nan, nan, nan, nan]   \n",
       "414                          [nan, nan, nan, nan, nan]   \n",
       "\n",
       "                                                  data languageName  \\\n",
       "0    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "1    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "2    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "3    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "4    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "5    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "6    [ASHRAE leak data, ASHRAE - Great Energy Predi...       Python   \n",
       "7    [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "8    [ASHRAE - Great Energy Predictor III, ASHRAE: ...       Python   \n",
       "9    [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "10   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "11   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "12   [ASHRAE_Ensembling_1, ASHRAE - Great Energy Pr...       Python   \n",
       "13   [[Private Datasource], ASHRAE - Great Energy P...       Python   \n",
       "14   [subs20191106, ASHRAE - Great Energy Predictor...       Python   \n",
       "15   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "16   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "17   [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "18   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "19   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "20   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "21   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "22   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "23   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "24   [ASU buildings energy consumption, ASHRAE - Gr...       Python   \n",
       "25   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "26   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "27   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "28   [ASHRAE - Great Energy Predictor III, ASHRAE -...       Python   \n",
       "29   [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "..                                                 ...          ...   \n",
       "385  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "386  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "387  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "388  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "389  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "390  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "391  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "392  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "393  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "394  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "395  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "396  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "397  [ASHRAE - Great Energy Predictor III, [Private...       Python   \n",
       "398  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "399  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "400  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "401  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "402  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "403  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "404  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "405  [ASHRAE - Great Energy Predictor III, LeakAggr...       Python   \n",
       "406  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "407  [UCF building energy consumption, ASHRAE - Gre...       Python   \n",
       "408  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "409  [ASHRAE - Great Energy Predictor III, [Private...       Python   \n",
       "410  [ASHRAE - Great Energy Predictor III, LGBM on ...       Python   \n",
       "411  [ASHRAE - Great Energy Predictor III, LGBM on ...       Python   \n",
       "412  [ASHRAE - Great Energy Predictor III, LGBM Fol...       Python   \n",
       "413  [ASHRAE - Great Energy Predictor III, Baseline...       Python   \n",
       "414  [ASHRAE - Great Energy Predictor III, nan, nan...       Python   \n",
       "\n",
       "     bestPublicScore  isGpuEnabled  lastRunExecutionTimeSeconds   medal  \\\n",
       "0              1.100         False                         3115    gold   \n",
       "1                NaN         False                          861    gold   \n",
       "2                NaN         False                          779    gold   \n",
       "3              1.121         False                         3382    gold   \n",
       "4              1.080         False                         3830    gold   \n",
       "5              0.990         False                          524    gold   \n",
       "6              1.040         False                         2281    gold   \n",
       "7                NaN         False                           93    gold   \n",
       "8              0.970         False                         2623    gold   \n",
       "9              1.120         False                         2070    gold   \n",
       "10               NaN         False                          113    gold   \n",
       "11             1.080         False                          816    gold   \n",
       "12             1.090         False                         1926  silver   \n",
       "13             1.074         False                        25702    gold   \n",
       "14             1.090         False                          476  silver   \n",
       "15             1.210         False                         2019  silver   \n",
       "16             1.230         False                         5887    gold   \n",
       "17             1.030         False                         3047  silver   \n",
       "18             1.240         False                        28194    gold   \n",
       "19             1.350          True                        27179  silver   \n",
       "20               NaN         False                          206  silver   \n",
       "21               NaN          True                         1175    gold   \n",
       "22             1.103         False                        11156  silver   \n",
       "23             1.230          True                         9472  silver   \n",
       "24             1.010         False                          396    gold   \n",
       "25               NaN         False                           90  silver   \n",
       "26               NaN         False                         6350  silver   \n",
       "27             1.060         False                         1518  silver   \n",
       "28             1.360         False                        14336  silver   \n",
       "29             1.110         False                         2854  bronze   \n",
       "..               ...           ...                          ...     ...   \n",
       "385              NaN         False                        10040    None   \n",
       "386              NaN         False                          293    None   \n",
       "387              NaN         False                          721    None   \n",
       "388              NaN         False                          162    None   \n",
       "389            1.290         False                         8048    None   \n",
       "390              NaN         False                         6921    None   \n",
       "391            1.875         False                          943    None   \n",
       "392              NaN         False                          327    None   \n",
       "393            1.180         False                         1312    None   \n",
       "394            1.150         False                        11826    None   \n",
       "395              NaN         False                         6610    None   \n",
       "396              NaN         False                           18    None   \n",
       "397            2.130         False                         1285    None   \n",
       "398              NaN         False                          397    None   \n",
       "399              NaN         False                           50    None   \n",
       "400              NaN         False                           18    None   \n",
       "401              NaN         False                           14    None   \n",
       "402              NaN          True                          117    None   \n",
       "403              NaN         False                          314    None   \n",
       "404              NaN         False                        20948    None   \n",
       "405              NaN         False                          825    None   \n",
       "406              NaN         False                          615    None   \n",
       "407              NaN         False                         5892    None   \n",
       "408              NaN         False                        21075    None   \n",
       "409              NaN         False                        19008    None   \n",
       "410              NaN         False                          411    None   \n",
       "411            1.010         False                          539    None   \n",
       "412            1.070         False                          452    None   \n",
       "413              NaN         False                        17021    None   \n",
       "414              NaN         False                         3696    None   \n",
       "\n",
       "     totalComments  totalForks  totalViews  totalVotes  \n",
       "0               73           0           0         364  \n",
       "1              200           0           0         756  \n",
       "2               48           0           0         386  \n",
       "3               57           0           0         279  \n",
       "4               44           0           0         220  \n",
       "5               22           0           0         131  \n",
       "6               20           0           0         125  \n",
       "7               34           0           0         146  \n",
       "8               26           0           0         106  \n",
       "9               47           0           0         126  \n",
       "10              24           0           0         163  \n",
       "11              43           0           0         200  \n",
       "12              12           0           0          41  \n",
       "13              18           0           0          74  \n",
       "14              13           0           0          32  \n",
       "15              67           0           0          68  \n",
       "16              18           0           0          85  \n",
       "17               0           0           0          48  \n",
       "18              29           0           0         215  \n",
       "19               8           0           0          31  \n",
       "20               4           0           0          46  \n",
       "21              16           0           0         152  \n",
       "22              26           0           0          79  \n",
       "23              10           0           0          29  \n",
       "24              13           0           0          85  \n",
       "25              10           0           0          76  \n",
       "26              15           0           0          59  \n",
       "27               6           0           0          31  \n",
       "28               0           0           0          28  \n",
       "29               8           0           0          22  \n",
       "..             ...         ...         ...         ...  \n",
       "385              0           0           0           0  \n",
       "386              0           0           0           0  \n",
       "387              0           0           0           0  \n",
       "388              0           0           0           0  \n",
       "389              0           0           0           0  \n",
       "390              0           0           0           0  \n",
       "391              0           0           0           0  \n",
       "392              0           0           0           0  \n",
       "393              0           0           0           0  \n",
       "394              0           0           0           0  \n",
       "395              0           0           0           0  \n",
       "396              0           0           0           0  \n",
       "397              0           0           0           0  \n",
       "398              0           0           0           0  \n",
       "399              0           0           0           0  \n",
       "400              0           0           0           0  \n",
       "401              0           0           0           0  \n",
       "402              1           0           0           0  \n",
       "403              0           0           0           0  \n",
       "404              0           0           0           0  \n",
       "405              0           0           0           0  \n",
       "406              0           0           0           0  \n",
       "407              0           0           0           0  \n",
       "408              0           0           0           0  \n",
       "409              0           0           0           0  \n",
       "410              0           0           0           0  \n",
       "411              0           0           0           0  \n",
       "412              0           0           0           0  \n",
       "413              0           0           0           0  \n",
       "414              0           0           0           0  \n",
       "\n",
       "[415 rows x 13 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Remove non-ASHRAE notebooks\n",
    "df_notebooks = df_notebooks[((df_notebooks['data'].astype('str').str.contains('ASHRAE', case=False)) | (df_notebooks['title'].str.contains('ASHRAE', case=False)))].reset_index(drop=True)\n",
    "df_notebooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_notebooks.to_pickle('ASHRAE-Kaggle_notebooks_meta.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_notebooks.to_excel('ASHRAE-Kaggle_notebooks_meta.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}