Python, Machine Learning, Statistics, Data Science, Technology.
that each one of them has at the time of feature analysis using PCA. from sklearn.preprocessing import StandardScaler # on this distribution. sc = StandardScaler() X_std = sc.fit_transform(X) Calculating the covariance matrix: Covariance matrix should be 18*18 matrix cov_matrix = np.cov(X_std.T)