Hi everyone! 👋
Today I want to share with you the latest tutorial I worked on! It's one of my longest and more complex articles so far, and it's a about a subject I really like: Principal Component Analysis. This is a simple, yet powerful technique used primarily in Data Analysis to reduce the dimensions of large datasets. 💐
My aim with this first instalment was not to provide a mathematical derivation, but to show, geometrically, how it works. This tutorial contains around 20 charts, many of which are interactive. 📊
This is why the series is called "PCA for Programmers": I want you to believe you could anyone with some basic programming knowledge could have derived this technique themselves! 💪😎
This is the first part of a longer series. In the second instalment (which is not out yet!) I will show how to perform PCA with code, using little to no knowledge of Statistics! ⌨️
Thank you again for your support, and if you have any question feel free to reach out to me on Discord!
🧔🏻