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

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 illustrates how sigmoid calibration changes predicted probabilities for a 3-class classification problem. Illustrated is the

On the left side the learning curve of a naive Bayes classifier is shown for the digits dataset. Note that the training score and the cross-validation score are both

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

This example demonstrates how to approximate a function with a polynomial of degree n_degree by using ridge regression. Concretely, from n_samples 1d points, it suffices

The decision tree structure can be analysed to gain further insight on the relation between the features and the target to predict. In this example

An application of the different

This is an example showing how scikit-learn can be used to classify documents by topics using a bag-of-words approach. This example uses

We want to compare the performance of the MiniBatchKMeans and KMeans: the MiniBatchKMeans is faster, but gives slightly different