Finance, Risk Analytics, Data Science, Machine Learning.
matrix for normalized values Finding Principal Components using PCA: pca = PCA(n_components=0.95,svd_solver='full') pca.fit(X) factor_loading = pca.components_ df_factor_loading = pd.DataFrame(factor_loading) df_factor_loading df_factor_loading gives us the eigenvalues of each of the PCs that have