Visualizing Principal Component Analysis (PCA)

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This video is an intuitive intro the Principal Component Analysis (PCA). PCA is a fundamental unsupervised machine learning technique for compressing data.

In this video we take a matrix with two columns and 5 rows and compress it into a single column with the first principal component.

Then we show what happens if you take a number of principal components equal to your number of columns.

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Wikipedia cant hold a candle next to this video

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