https://github.com/sahil210695/gradient-descent

A simplified explanation of gradient descent for linear regression in python using numpy
https://github.com/sahil210695/gradient-descent

gradient-descent gradient-descent-algorithm linear-regression matplotlib mini-batch-gradient-descent numpy python stochastic-gradient-descent

Last synced: 6 months ago
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A simplified explanation of gradient descent for linear regression in python using numpy

• Host: GitHub
• URL: https://github.com/sahil210695/gradient-descent
• Owner: sahil210695
• Created: 2019-01-01T15:27:30.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-01-01T15:43:19.000Z (almost 7 years ago)
• Last Synced: 2025-03-14T18:49:13.416Z (9 months ago)
• Topics: gradient-descent, gradient-descent-algorithm, linear-regression, matplotlib, mini-batch-gradient-descent, numpy, python, stochastic-gradient-descent
• Language: Jupyter Notebook
• Homepage:
• Size: 309 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 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 😎👍✌️