7136feda91 | ||
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.. | ||
applications | ||
bicluster | ||
calibration | ||
classification | ||
cluster | ||
compose | ||
covariance | ||
cross_decomposition | ||
datasets | ||
decomposition | ||
developing_estimators | ||
ensemble | ||
exercises | ||
feature_selection | ||
gaussian_process | ||
impute | ||
inspection | ||
kernel_approximation | ||
linear_model | ||
manifold | ||
miscellaneous | ||
mixture | ||
model_selection | ||
multiclass | ||
multioutput | ||
neighbors | ||
neural_networks | ||
preprocessing | ||
release_highlights | ||
semi_supervised | ||
svm | ||
text | ||
tree | ||
README.txt |
README.txt
.. _general_examples: Examples ======== This is the gallery of examples that showcase how scikit-learn can be used. Some examples demonstrate the use of the :ref:`API <api_ref>` in general and some demonstrate specific applications in tutorial form. Also check out our :ref:`user guide <user_guide>` for more detailed illustrations.