These examples illustrate the main features of the releases of scikit-learn.
Examples concerning the
Examples illustrating the calibration of predicted probabilities of classifiers.
General examples about classification algorithms.
Examples based on real world datasets¶
Applications to real world problems with some medium sized datasets or interactive user interface.
Miscellaneous and introductory examples for scikit-learn.
Pipelines and composite estimators¶
Examples of how to compose transformers and pipelines from other estimators. See the User Guide.
Exercises for the tutorials