Principal Components Analysis (PCA)
PCA Machine Learning
PCA or Principal Component Analysis is one of the most powerful technique of dimension reduction. Although this is statistical techniques but heavily used in Machine Learning model development. If a dataset has high number of features/ columns/ dimensions then PCA can compress that information in couple of PC, principle components and then we can use these columns to develop models.