In this module, we presented decision trees in details. We saw that they:
are suited for both regression and classification problems;
are non-parametric models;
are not able to extrapolate;
are sensitive to hyperparameter tuning.
To go further#
You can refer to the following scikit-learn examples which are related to the concepts approached during this module: