Machine Learning, Dimensionality Reduction, Feature Selection, Curse Of Dimensionality, Feature Engineering.
data, PCA rotates and projects data along the direction of increasing variance. The features with the maximum variance are the principal components. Factor Analysis : a technique that is used to reduce a large number of variables into fewer numbers of factors. The values of observed data are