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Python Here’s how you apply PCA to your scaled data in Python: from sklearn.decomposition import PCA # Applying PCA with the optimal number of components pca = PCA(n_components=n_components) pca_result = pca.fit_transform(scaled_features) # The pca_result is an array with the transformed features