PCA: Beyond Dimensionality Reduction

Learn how to use PCA algorithm to find variables that vary together

Gustavo Santos
Towards Data Science
6 min readOct 22, 2021

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Photo by Pritesh Sudra on Unsplash

Principal Component Analysis

Principal Component Analysis or PCA for short is a mathematical transformation based on covariance calculations.

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Data Scientist. I extract insights from data to help people and companies to make better and data driven decisions. | In: https://www.linkedin.com/in/gurezende/