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Simple notes-style illustration explaining what PCA is in machine learning using dimensionality reduction and principal components.

What Is PCA in Machine Learning? A Comprehensive Guide (2026)

If you are learning machine learning or data science, you will often encounter datasets with hundreds or even thousands of features. This is where PCA in machine learning becomes essential. This guide explains what PCA is, why it is used, and how it works, in plain English first, followed by technical clarity—without unnecessary math overload. […]

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