Dimensionality Reduction - The Math of Intelligence #5

Most of the datasets you'll find will have more than 3 dimensions. How are you supposed to understand visualize n-dimensional data? Enter dimensionality reduction techniques. We'll go over the the math behind the most popular such technique called Principal Component Analysis.

Code for this video:
github.com/llSourcell/Dimensionality_Reduction

Ong's Winning Code:
github.com/jrios6/Math-of-Intelligence/tree/master…

Hammad's Runner up Code:
github.com/hammadshaikhha/Math-of-Machine-Learning…

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I used a screengrab from 3blue1brown's awesome videos:    / @3blue1brown  

More learning resources:
plot.ly/ipython-notebooks/principal-component-anal…
   • Principal Components Analysis (PCA) Tutori...  
www.dezyre.com/data-science-in-python-tutorial/pri…
georgemdallas.wordpress.com/2013/10/30/principal-c…
setosa.io/ev/principal-component-analysis/
sebastianraschka.com/Articles/2015_pca_in_3_steps.…
algobeans.com/2016/06/15/principal-component-analy…

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