Hi everyone! π
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. π
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. π
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! πͺπ
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! β¨οΈ
Thank you again for your support, and if you have any question feel free to reach out to me on Discord!
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