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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