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This repository contains code for Linear Regression (Simple and Multiple) using statsmodels and sklearn. It also contains code for Logistic Regression.

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hridayashinde/Machine-Learning-using-Python

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1.04.+Real-life+example.csv
1.04.+Real-life+example.csv
 
 
Bank_data.csv
Bank_data.csv
 
 
Bank_data_testing.csv
Bank_data_testing.csv
 
 
Logistic Regression.ipynb
Logistic Regression.ipynb
 
 
Multiple Linear Regression using Statsmodels.ipynb
Multiple Linear Regression using Statsmodels.ipynb
 
 
Multiple Linear Regression using sklearn.ipynb
Multiple Linear Regression using sklearn.ipynb
 
 
Multiple Linear Regression.ipynb
Multiple Linear Regression.ipynb
 
 
README.md
README.md
 
 
Simple Linear Regression using Statsmodels.ipynb
Simple Linear Regression using Statsmodels.ipynb
 
 
Simple Linear Regression with sklearn.ipynb
Simple Linear Regression with sklearn.ipynb
 
 
real_estate_price_size.csv
real_estate_price_size.csv
 
 
real_estate_price_size_year.csv
real_estate_price_size_year.csv
 
 
real_estate_price_size_year_view.csv
real_estate_price_size_year_view.csv
 
 

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Machine-Learning-using-Python

This repository contains code for Linear Regression (Simple and Multiple) using statsmodels and sklearn. It also contains code for Logistic Regression.

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This repository contains code for Linear Regression (Simple and Multiple) using statsmodels and sklearn. It also contains code for Logistic Regression.

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