scikit-learn/examples at master · DataScience2016/scikit-learn · GitHub

Name		Name	Last commit message	Last commit date
parent directory ..
applications		applications
bicluster		bicluster
calibration		calibration
classification		classification
cluster		cluster
covariance		covariance
cross_decomposition		cross_decomposition
datasets		datasets
decomposition		decomposition
ensemble		ensemble
exercises		exercises
feature_selection		feature_selection
gaussian_process		gaussian_process
linear_model		linear_model
manifold		manifold
mixture		mixture
model_selection		model_selection
neighbors		neighbors
neural_networks		neural_networks
preprocessing		preprocessing
semi_supervised		semi_supervised
svm		svm
text		text
tree		tree
README.txt		README.txt
feature_stacker.py		feature_stacker.py
hetero_feature_union.py		hetero_feature_union.py
missing_values.py		missing_values.py
plot_cv_predict.py		plot_cv_predict.py
plot_digits_pipe.py		plot_digits_pipe.py
plot_isotonic_regression.py		plot_isotonic_regression.py
plot_johnson_lindenstrauss_bound.py		plot_johnson_lindenstrauss_bound.py
plot_kernel_approximation.py		plot_kernel_approximation.py
plot_kernel_ridge_regression.py		plot_kernel_ridge_regression.py
plot_multilabel.py		plot_multilabel.py
plot_multioutput_face_completion.py		plot_multioutput_face_completion.py

README.txt

.. _general_examples:

General examples
----------------

General-purpose and introductory examples for the scikit.