Data Science, Machine Learning, Pca, Big Data, Principal Component.
measured in different units. PCA on an un-normalized dataset results in higher eigenvalues for the variable having maximum variance corresponding to the eigenvector of its first PC. PCA can be applied only on numerical data. Thus, if the data has categorical variables too they must be converted to