Data Science, Machine Learning, Pca, Big Data, Principal Component.
'yticks':[]}, gridspec_kw=dict(hspace=0.1, wspace=0.1)) for i, ax in enumerate(axes.flat): ax.imshow(faces_pca.components_[i].reshape(62, 47), cmap='bone') Now we will use the principal components to form a projected image of faces and compare it with the original dataset. components =