Scikit-learn version 0.24.0 is packed with new features for machine learning. It arrived just in time for the New Year. Let’s look at the highlights! ☃️

• Faster ways to select hyper-parameters
• ICE plots
• Histogram boosting improvements
• Forward selection for feature selection
• Fast approximation of polynomial feature expansion
• SelfTrainingClassifier for semi-supervised learning
• Mean absolute percentage error (MAPE)
• OneHotEncoder supports missing values
• OrdinalEncoder can handle new values in the test set
• Recursive feature elimination (RFE) accepts a proportion of features to retain

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