Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
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Updated
May 17, 2023 - Visual Basic .NET
Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
This code demonstrates the basic end-to-end workflow of developing, training, and evaluating a deep artificial neural network classifier on a real-world classification problem involving preprocessing of categorical variables.
This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from kaggle.
Feature Importance of categorical variables by converting them into dummy variables (One-hot-encoding) can skewed or hard to interpret results. Here I present a method to get around this problem using H2O.
This is a Kaggle task inspired notebook: exploring correlation + bonus trying ppscore package
Source Code for Paper "Improving survey inference using administrative records without releasing individual-level continuous data"
This Repo Contains Machine Learning Projects covering Supervised and Unsupervised ML algorithms. Contains solutions of various hackathon solutions (kaggle, AV , ineuron)
This repo consists of the various practices and concepts that we come across in the domain of DS and ML
A function to run Bhapkar's test from Bhapkar (1968) 'On the analysis of contingency tables with a quantitative response' Biometrics, 24 (2): 329-38.
Creation of a binary classifier used to predict the success rate of applicants when funded by a specific company.
Implementation of Naive Bayes algorithm for categorical data
CUHK Course code: STAT 3011 | This course is designed to strengthen students' ability in statistical computing as well as in processing and analysing data. Students are required to participate in several term projects with emphasis on techniques of data management and analysis.
Machine learning tests
Encode Categorical Features based on Target/Class
A list of python notebooks for Machine learning basics- regression and classification.
ANOVA_diamonds_analysis
Types of Variables in Research: Numeric/Quantitative vs Categorical
Random Graphs, Random Matrices, FK Dependent Categorical, Galton-Watson
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