Data Science, Linear Algebra, Math For Data Science, Data Science Basics.
Reduction Using Principal Component Analysis Principal Component Analysis (PCA) is a statistical method that is used for feature extraction. PCA is used for high-dimensional and highly correlated data. The basic idea of PCA is to transform the original space of features into the space of principal