https://github.com/pandaiscodingcpu/linearregressiondemonstration
This repo is all about the mathematical demonstration of Linear regression only using numpy and matplotlib.
https://github.com/pandaiscodingcpu/linearregressiondemonstration
Last synced: 7 months ago
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This repo is all about the mathematical demonstration of Linear regression only using numpy and matplotlib.
- Host: GitHub
- URL: https://github.com/pandaiscodingcpu/linearregressiondemonstration
- Owner: pandaiscodingcpu
- Created: 2025-08-07T15:50:11.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-08-09T15:41:08.000Z (8 months ago)
- Last Synced: 2025-08-09T17:35:37.855Z (8 months ago)
- Language: Jupyter Notebook
- Size: 220 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# LinearRegressionDemonstration
This repo is all about the mathematical demonstration of Linear regression only using numpy and matplotlib.
**Welcome to the Linear Regression demonstration repo.**
**This repo contains the basic mathematics behind linear regression using only numpy and matplotlib**
**This will give a glimpse of what happens in background when we call LinearRegression module from scikit-learn**
**This repo contains two jupyter files**
**1. poly_reg.ipynb to show the polynomial regression**
**2. regularised_linear_models to show the comparision various linear model using numpy**