Principal Component Analysis from the ground up with Python

Robin Thibaut
Towards Data Science
6 min readMay 3, 2022

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0. Introduction

Say you have a bunch of data points, and you want to find patterns in them. Principal component analysis is a tool that can help you do that. It finds the most important features in your data, and it reduces the dimensionality of the data. This means that it takes a lot of data points, and it turns them into a…

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Postdoc researcher at Berkeley Lab, California. Experimental Design | Machine Learning | Earth Sciences. https://robinthibaut.github.io