Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of large datasets by transforming them into a set of linearly uncorrelated variables called principal ...

I gave this at work to introduce people to PCA. Basic linear algebra knowledge was assumed and code examples were given in R. The presentation is available to view here. The deck isn't completely ...