https://github.com/bhattbhavesh91/pca-multicollinearity

A simple example to show how Principal Component Analysis can be used to Address Multicollinearity
https://github.com/bhattbhavesh91/pca-multicollinearity

address-multicollinearity multicollinearity pca principal-component-analysis

Last synced: 16 days ago
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A simple example to show how Principal Component Analysis can be used to Address Multicollinearity

• Host: GitHub
• URL: https://github.com/bhattbhavesh91/pca-multicollinearity
• Owner: bhattbhavesh91
• License: gpl-3.0
• Created: 2019-12-06T05:31:56.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-05-29T13:14:32.000Z (over 4 years ago)
• Last Synced: 2025-04-18T14:09:12.930Z (6 months ago)
• Topics: address-multicollinearity, multicollinearity, pca, principal-component-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 339 KB
• Stars: 5
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# Principal Component Analysis (PCA) to Address Multicollinearity

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## To view the video

* [Click here](https://youtu.be/7A6vukBvooE)

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[![Principal Component Analysis (PCA) to Address Multicollinearity](http://img.youtube.com/vi/7A6vukBvooE/0.jpg)](http://www.youtube.com/watch?v=7A6vukBvooE)

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