Примеры
Release Highlights
These examples illustrate the main features of the releases of scikit-learn.
Бинарная кластеризация
Примеры из модуля sklearn.cluster.bicluster
Calibration
Examples illustrating the calibration of predicted probabilities of classifiers.
Classification
General examples about classification algorithms.
Clustering
Examples concerning the sklearn.cluster module.
Covariance estimation
Examples concerning the sklearn.covariance module.
Cross decomposition
Examples concerning the sklearn.cross_decomposition module.
Dataset examples
Examples concerning the sklearn.datasets module.
Decision Trees
Examples concerning the sklearn.tree module.
Decomposition
Examples concerning the sklearn.decomposition module.
Ensemble methods
Examples concerning the sklearn.ensemble module.
Examples based on real world datasets
Applications to real world problems with some medium sized datasets or interactive user interface.
Feature Selection
Examples concerning the sklearn.feature_selection module.
Gaussian Mixture Models
Examples concerning the sklearn.mixture module.
Gaussian Process for Machine Learning
Examples concerning the sklearn.gaussian_process module.
Generalized Linear Models
Examples concerning the sklearn.linear_model module.
Inspection
Examples related to the sklearn.inspection module.
Kernel Approximation
Examples concerning the sklearn.kernel_approximation module.
Manifold learning
Examples concerning the sklearn.manifold module.
Miscellaneous
Miscellaneous and introductory examples for scikit-learn.
Missing Value Imputation
Examples concerning the sklearn.impute module.
Model Selection
Examples related to the sklearn.model_selection module.
Multioutput methods
Examples concerning the sklearn.multioutput module.
Nearest Neighbors
Examples concerning the sklearn.neighbors module.
Neural Networks
Examples concerning the sklearn.neural_network module.
Pipelines and composite estimators
Examples of how to compose transformers and pipelines from other estimators. See the User Guide.
Preprocessing
Examples concerning the sklearn.preprocessing module.
Semi Supervised Classification
Examples concerning the sklearn.semi_supervised module.
Support Vector Machines
Examples concerning the sklearn.svm module.
Tutorial exercises
Exercises for the tutorials
Working with text documents
Examples concerning the sklearn.feature_extraction.text module.