This is an example of applying Non-negative Matrix Factorization and Latent Dirichlet Allocation on a

This is an example showing how scikit-learn can be used for classification using an out-of-core approach: learning from data that doesn?t fit into

A simple graphical frontend for Libsvm mainly intended for didactic purposes. You can create data points by point and click and visualize the decision region induced by different

This example illustrates the need for robust covariance estimation on a real data set. It is useful both for outlier detection and for a better understanding

Demonstrate how model complexity influences both prediction accuracy and computational performance. The dataset is the Boston Housing dataset (resp. 20 Newsgroups)

The dataset used in this example is a preprocessed excerpt of the ?Labeled Faces in the Wild?, aka

This is an example showing the prediction latency of various scikit-learn estimators. The goal is to measure the latency one can expect when doing predictions either

Modeling species? geographic distributions is an important problem in conservation biology. In this example we model the geographic distribution of two south american

This example employs several unsupervised learning techniques to extract the stock market structure from variations in historical quotes. The quantity

This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such