Computes Lasso Path along the regularization parameter using the LARS algorithm on the diabetes dataset. Each color represents a different feature of the coefficient vector

Using the GraphLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g

This example plots the ellipsoids obtained from a toy dataset (mixture of three Gaussians) fitted by the Baye

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

An example showing how the scikit-learn can be used to recognize images of hand-written digits. This example is commented in the

Plot several randomly generated 2D classification datasets. This example illustrates the datasets.make_classification datasets

In this example we see how to robustly fit a linear model to faulty data using the RANSAC algorithm.

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

An example using a one-class SVM for novelty detection.

Incremental principal component analysis (IPCA) is typically used as a replacement for principal component analysis (PCA) when the dataset to be decomposed is too large to fit