Skip to content

Latest commit

 

History

History
10 lines (7 loc) · 256 Bytes

File metadata and controls

10 lines (7 loc) · 256 Bytes

Machine Learning Implementations in Python

Jupyter Notebook with examples on how to implement Linear Regression in different ways with Python:

  1. Manual with Gradient Descent
  2. Using Scipy
  3. Using Scikit-Learn
  4. Using Statsmodel
  5. Using Seaborn