Four options for handling missing values (NaNs):
1. Drop rows containing NaNs
2. Drop columns containing NaNs
3. Fill NaNs with imputed values
4. Use a model that natively handles NaNs (NEW!)

Note: Beginning in scikit-learn 1.0, HistGradientBoostingClassifier and HistGradientBoostingRegressor will be considered stable (rather than experimental), and thus you will no longer have to enable them explicitly.

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