AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
np.cumsum(explained_variance_ratio) # Find the number of components that explain at least 75% of the variance n_components = np.argmax(cumulative_explained_variance >= 0.75) + 1 # Transform both the training and test data to the selected number of components X_train_svd_selected =