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Gradient Descent Algorithm.ipynb

Gradient Descent Algorithm.ipynb

 
 

Lasso Regression ( L1 Regularization ).ipynb

Lasso Regression ( L1 Regularization ).ipynb

 
 

Moore's Law (Uni-variate Regression).ipynb

Moore's Law (Uni-variate Regression).ipynb

 
 

Multivariate Linear Regression.ipynb

Multivariate Linear Regression.ipynb

 
 

Overfitting.ipynb

Overfitting.ipynb

 
 

Polynomial Regression.ipynb

Polynomial Regression.ipynb

 
 

README.md

README.md

 
 

Ridge Regression (L2 Regularization).ipynb

Ridge Regression (L2 Regularization).ipynb

 
 

Systolic (Multivariate Linear Regression).ipynb

Systolic (Multivariate Linear Regression).ipynb

 
 

Uni-variate Linear Regression .ipynb

Uni-variate Linear Regression .ipynb

 
 

data_1d.csv

data_1d.csv

 
 

data_2d.csv

data_2d.csv

 
 

data_poly.csv

data_poly.csv

 
 

mlr02.xls

mlr02.xls

 
 

moore.csv

moore.csv

 
 

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Regression-Analysis

This Repository includes codes for various type of Regression Algorithms like Linear, Multivariate, Polynomial, Ridge and Lasso Regression. Other than that it gives an intution of how the Gradient Descent Algorithm and Overfitting works plus the it includes simple Beginners Projects such as Moore's Law Analysis and Systolic Data Prediction.

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Implementation scripts of regression algorithms in python from scratch.

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machine-learning linear-regression regularization gradient-descent polynomial-regression multivariate-regression

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