Principal Components Analysis in one slide

Steps to implement PCA on any data. Follow from 1) to 7)

This slide should be considered a cheatsheet of the PCA algorithm to reduce dimensionality of your data and still maintain some properties for further analysis. I summarise in just one slide (right before wiping the board)

If you follow the steps from 1) to 7) you get a straightforward algorithm to implement PCA. Have fun reducing your data to principal components!

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