Machine Learning, Data Science, Healthcare, Biology.
pca.fit_transform(X_std) # Plot the explained variances features = range(pca.n_components_) plt.bar(features, pca.explained_variance_ratio_, color='black') plt.xlabel('PCA features') plt.ylabel('variance %') plt.xticks(features) # Save components to a DataFrame PCA_components =