Skip to content

Latest commit

 

History

History
11 lines (9 loc) · 342 Bytes

README.md

File metadata and controls

11 lines (9 loc) · 342 Bytes

Gradient Descent Explaination

Simplified explanation of gradient descent for linear regression in python using numpy

Table of Contents

  1. Create Data
  2. Solve Direclty
  3. Gradient Descent
  4. Stochastic Gradient Descent
  5. Mini-batch Gradient Descent

Hope this helps in reducing the Confusion using gradient descent 😎👍✌️