https://github.com/kennethleungty/principal-component-regression
Principal Component Regression - Clearly Explained and Implemented
https://github.com/kennethleungty/principal-component-regression
linear-regression pca pcr principal-component-analysis principal-component-analysis-pca principal-component-regression principal-components python regression regression-analysis
Last synced: 7 months ago
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Principal Component Regression - Clearly Explained and Implemented
- Host: GitHub
- URL: https://github.com/kennethleungty/principal-component-regression
- Owner: kennethleungty
- Created: 2022-04-01T06:31:04.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-07T03:33:13.000Z (about 3 years ago)
- Last Synced: 2023-03-05T18:11:20.259Z (over 2 years ago)
- Topics: linear-regression, pca, pcr, principal-component-analysis, principal-component-analysis-pca, principal-component-regression, principal-components, python, regression, regression-analysis
- Language: Jupyter Notebook
- Homepage: https://towardsdatascience.com/principal-component-regression-clearly-explained-and-implemented-608471530a2f
- Size: 1.04 MB
- Stars: 9
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Principal Component Regression (PCR) - Clearly Explained and Implemented
Understanding the concepts and Python implementation of the regression analysis technique based on principal component analysis (PCA)
Link to article: https://towardsdatascience.com/principal-component-regression-clearly-explained-and-implemented-608471530a2f
## Overview
- Principal component analysis (PCA) is a well-known dimensionality reduction technique, but did you know that we can also apply the concepts behind PCA in regression analysis?
- This project provides a clear explanation of principal component regression (PCR), including its theoretical concept, benefits, caveats, and Python implementation.
## Contents
- `/data`: Datasets for the PCR analysis (diamond quality and wine quality data)
- `/notebooks`: Notebooks demonstrating the implementation of PCR
- `/images`: Images/screenshots involved in project
## Results - Wine Quality Dataset
## References
- https://rpubs.com/esobolewska/pcr-step-by-step
- https://blogs.sas.com/content/iml/2017/10/25/principal-component-regression-drawbacks.html
- https://online.stat.psu.edu/stat508/lesson/7/7.1
- https://scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html