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๐Ÿ“ Principal Component Analysis for Programmers โ— Tutorial

Hi everyone! ๐Ÿ‘‹

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. ๐Ÿ’

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. ๐Ÿ“Š

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! ๐Ÿ’ช๐Ÿ˜Ž

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! โŒจ๏ธ

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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๐Ÿ“ Principal Component Analysis for Programmers โ— Tutorial

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