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Data Science, Editorial, Programming

Principal Component Analysis (PCA) with Python Examples — Tutorial

An in-depth tutorial on principal component analysis (PCA) with mathematics and Python coding examples

Last updated, January 8, 2021

Author(s): Saniya Parveez, Roberto Iriondo

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This tutorial’s code is available on Github and its full implementation as well on Google Colab.

Table of Contents

1. Introduction
2. Curse of Dimensionality
3. Dimensionality Reduction
4. Correlation and its Measurement
5. Feature Selection
6. Feature Extraction
7. Linear Feature Extraction
8. Principal Component Analysis (PCA)
9. Math behind PCA
10. How does PCA work?
11. Applications of PCA