Basics of ML libraries Explained through Jupyter Notebooks
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Updated
May 17, 2020 - Jupyter Notebook
Basics of ML libraries Explained through Jupyter Notebooks
# PISA 2012 Data ## by Nadine Amin ## Dataset > PISA is a survey of students' skills and knowledge as they approach the end of compulsory education. It focuses on examining how well prepared the students are for life beyond school. > Around 510,000 students in 65 economies took part in the PISA 2012 assessment of reading, mathematics and science…
Auto_MPG (Linear Regression)
This is the final community contribution for EDAV Fall 2023, Columbia University. Author: Xinyi Zhao, Jean Law
This repository contains my learning path of python for data-science essential training(part-2). Here, I have included chapter-wise topics and my practice problems. Also, feel free to checkout for better understanding.
Stock Price Prediction of APPLE Using Python
The dataset is property of Ares Materials Inc
Crawl data, process data, visualize, and create ML model for laptop price prediction
Investigate Ford GoBike Project
This is a part of the exercise project provided by Dicoding in "Learn Data Analytics with Python" course.
Cleaned FordGoBike data for 2019 was analyzed using different pots (univariate and multivariate) to draw conclusion over the distribution relation between different categorical and numerical variables
Divar's 2021 Data Analyst summer camp entrance task.
A project is to make a simple Exploratory Data Analysis to find if there is a direct relationship between income and the level of education in Canada.
Exploratory & Explanatory Analysis of Prosper Loan Data.
Analysing the data of uber using R
This is an implementation for the famous Kaggle competition "House Prices" using EDA tools, feature engineering, handling outliers and missing data and finally machine learning linear models and regularization.
Online Gaming Case Study
Report emphasizing on exploratory and explanatory data visualization techniques used for analyzing FordGoBike bike-sharing system data
This project was the last project of my data analyst nanodegree : Creating a data story with Tableau
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