Data Science, Factor Analysis, Data, Machine Learning, Statistics.
the eigenvectors of the covariance matrix become our principal components. We’ll let parameter ncomp unset, so the PCA returns all principal components, i.e., are as many as the number of features. import pandas as pd from sklearn import preprocessing # Load dataset dataset =