https://github.com/loristns/simple_linear_regression

An implementation of gradient descent and genetic algorithms applied to linear regression.
https://github.com/loristns/simple_linear_regression

genetic-algorithm gradient-descent linear-regression machine-learning-algorithms optimization-algorithms

Last synced: 5 months ago
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An implementation of gradient descent and genetic algorithms applied to linear regression.

• Host: GitHub
• URL: https://github.com/loristns/simple_linear_regression
• Owner: loristns
• License: mit
• Created: 2018-02-10T17:37:40.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-12T23:05:11.000Z (almost 8 years ago)
• Last Synced: 2025-06-01T18:18:04.539Z (7 months ago)
• Topics: genetic-algorithm, gradient-descent, linear-regression, machine-learning-algorithms, optimization-algorithms
• Language: Python
• Homepage:
• Size: 3.91 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

          
# Simple Linear Regression

*⚠ This is a toy experiment that is intended to help you learn optimization algorithms that are used in machine learning.*

An implementation of gradient descent and genetic algorithms applied to linear regression.

## 🎓 Useful ressources

 - [Partial derivatives, introduction](https://www.youtube.com/watch?v=AXqhWeUEtQU)

 - [Keep it simple! How to understand Gradient Descent algorithm](https://www.kdnuggets.com/2017/04/simple-understand-gradient-descent-algorithm.html)

 

 To go further :

 - [Simple_NN](https://github.com/maxlorenz/Simple_NN)

 - [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)