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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.
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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