Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
index=[f'PC{i+1}' for i in range(pca.n_components)] ) # Identify the top contributing features for each principal component top_features_per_pc = pca_loadings_analysis.apply(lambda s: s.nlargest(5).index.tolist(), axis=1) top_features_per_pc C. Interpreting the Top Features Each principal component