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dimensionality reduction pca = PCA(n_components=2) X_reduced = pca.fit_transform(X) 15. Decision trees: A supervised learning algorithm that builds a tree-like model for making decisions. It partitions the feature space into regions based on feature values. Here’s an example code snippet using