Data Science, Machine Learning, Pca, Big Data, Principal Component.
into the picture. PCA is a technique for feature extraction — so it combines the input variables in a specific way, then gets rid of the “least important” variables while still retaining the most valuable parts (or principal components) of all of the variables! Principal Components you say? A