Skip to content
No description, website, or topics provided.
Branch: master
Clone or download
Saishruthi Update
Latest commit 4f18a74 Jan 18, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.


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


  • 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.

You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session.