Documentation of scikit-learn 0.22.dev0

A very short introduction to machine learning problems and how to solve them using scikit-learn. Presents basic concepts and conventions.

The main documentation. This contains an in-depth description of all algorithms and how to apply them.

• All available versions
• PDF documentation

Useful tutorials for developing a feel for some of scikit-learn's applications in the machine learning field.

The main documentation. This contains an in-depth description of all algorithms and how to apply them.

The exact API of all functions and classes, as given by the docstrings. The API describes expected types and allowed features for all functions, and all parameters available for the algorithms.

Information on how to contribute. This also contains useful information for advanced users, for example how to build their own estimators.

Frequently asked questions about the project and contributing.

Other machine learning packages for Python and related projects. Also algorithms that are slightly out of scope or not well established enough for scikit-learn.

Roadmap of the project.

About the scikit-learn project.