Machine Learning, Model Selection, Hyperparameter Tuning, Learning Curve, Cross Validation.
notebook with scikit-learn) here. While by far not comprehensive, this post covers many important concepts and “best practices” concerning model selection. There is more to say about this topic, particularly about statistical tests for model selection and sampling-based methods (e.g. bootstrapping)