Principal Component Analysis (PCA)

This article is part of a series on Introduction to Machine Learning, follow along to learn more about different machine learning algorithms intuitively Let’s imagine you have a dataset consisting of 10 features. As a data scientist, your first job with any dataset is exploratory data analysis. But, how many 2-D plots can you even explore ? For a dataset with 10 features, You’ll have to explore over 45 2-dimensional plots. PCA solves this problem by transforming your higher dimensional dataset to a lower dimension still preserving most of the original information. ...

January 29, 2026 · 3 min · Renny Harlin