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Linear_Regression.ipynb
README.md

README.md

Linear_Regression_Detailed_Implementation

This repo has detailed explanation of linear regression over sample data with one predictor.

Covers

  • Visualization of data using seaborn
  • Simple linear regression implementation using normal equations (using Numpy)
  • Gradient descent optimization (using numpy)
  • R-squared implementation using numpy
  • Residual plot analysis
  • Comparison of model using normal equation with scikit implementation

Concepts are inspired from Prof. Andrew Ng's machine learning course and Siraj Raval's Videos.

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