Examples — scikit-learn 0.20.4 documentation (original) (raw)

Miscellaneous examples¶

Miscellaneous and introductory examples for scikit-learn.

Examples based on real world datasets¶

Applications to real world problems with some medium sized datasets or interactive user interface.

Calibration¶

Examples illustrating the calibration of predicted probabilities of classifiers.

Classification¶

General examples about classification algorithms.

Pipelines and composite estimators¶

Examples of how to compose transformers and pipelines from other estimators. See the User Guide.

Tutorial exercises¶

Exercises for the tutorials

Support Vector Machines¶

Examples concerning the sklearn.svm module.

Working with text documents¶

Examples concerning the sklearn.feature_extraction.text module.