Compute the segmentation of a 2D image with Ward hierarchical clustering. The clustering is spatially constrained in

This examples shows how a classifier is optimized by cross-validation, which is done using the

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

Show below is a logistic-regression classifiers decision boundaries on the

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

A recursive feature elimination example showing the relevance of pixels in a digit classification task.

A tutorial exercise for using different SVM kernels. This exercise is used in the

This example illustrates the prior and posterior of a GPR with different kernels. Mean, standard deviation, and 10

This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets

Demonstrate the resolution of a regression problem using a k-Nearest Neighbor and the interpolation of the target using both barycenter and constant weights.