PCA Made Simple with Python and scikit-learn

Published: 16 July 2026
on channel: Kelvin Lin

206

Unlock the power of PCA in Python and turn messy high-dimensional data into clear, visual insights. In this beginner-friendly tutorial, we break down Principal Component Analysis, dimensionality reduction, feature scaling, explained variance, and principal components using scikit-learn, pandas, and matplotlib.

Big shoutout to ⁠‪@dontmakelies‬ for her editing work!

Check out my book Modern Data: From Ingestion to Production available on Amazon, Apple Books, and Barnes & Nobles:

🔗 Amazon 🚚 : https://www.amazon.com/dp/B0GH8J71SC

🔗 Barnes & Noble 📚: https://www.barnesandnoble.com/w/mode...

🔗 Apple Books 🍎 : https://books.apple.com/us/book/moder...

#python #machinelearning #ml #datascience #scikitlearn #matplotlib #ai #dataanalytics #programming #learnpython

On this page of the site you can watch the video online PCA Made Simple with Python and scikit-learn with a duration of hours minute second in good quality, which was uploaded by the user Kelvin Lin 16 July 2026, share the link with friends and acquaintances, this video has already been watched 206 times on youtube and it was liked by 13 viewers. Enjoy your viewing!

2,790