Feature Engineering, Machine Learning, Data Science, Data, Python.
standardize=True): # Standardize if standardize: X = (X - X.mean(axis=0)) / X.std(axis=0) # Create principal components pca = PCA() X_pca = pca.fit_transform(X) # Convert to dataframe component_names = [f"PC{i+1}" for i in range(X_pca.shape[1])] X_pca = pd.DataFrame(X_pca, columns=component_names)