This illustrates the datasets.make_multilabel_classification dataset generator. Each sample consists of counts of two features (up to

This example shows the use of multi-output estimator to complete images. The goal is to predict the lower half of a face given its upper half

A tutorial exercise which uses cross-validation with linear models. This exercise is used in the

This example illustrates visually in the feature space a comparison by results using two different component analysis techniques.

A comparison of a several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different

We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved.

Demonstrate Gradient Boosting on the Boston housing dataset. This example fits a Gradient Boosting model with least squares loss and 500 regression trees

This example shows how to use cross_val_predict to visualize prediction errors.

An application of the different

In this example, an image with connected circles is generated and spectral clustering is used to separate the circles. In these settings, the