Documentation of scikit-learn 0.15
A very short introduction into machine learning
problems and how to solve them using scikit-learn.
Introduced basic concepts and conventions.
The main documentation. This contains an
in-depth description of all algorithms and how
to apply them.
A graphical overview of basic areas of machine
learning, and guidance which kind of algorithms
to use in a given situation.
A tutorial on statistical learning for
data analysis. Contains a more in-depth discussion
of important concepts.
The exact API of all functions and classes, as given by the docstrings.
The API documents 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.
Talks given, slide-sets and other information relevant to scikit-learn.