#34 Machine Learning & Data Science Challenge 34

What is Principal Component Analysis (PCA), and why do we do it? The main idea of principal component analysis (PCA) is to reduce the dimensionality of a data set consisting of many variables correlated with each other, either heavily or lightly, wh...