Estimates Lasso and Elastic-Net regression models on a manually generated sparse signal corrupted with an additive noise. Estimated coefficients are

This example shows that imputing the missing values can give better results than discarding the samples containing any missing value. Imputing

An example using IsolationForest for anomaly detection. The IsolationForest ?isolates? observations by randomly selecting a feature and then randomly selecting

An illustration of various embeddings on the digits dataset. The RandomTreesEmbedding, from the

Shows the effect of collinearity in the coefficients of an estimator.

The usual covariance maximum likelihood estimate can be regularized using shrinkage. Ledoit and Wolf proposed a close formula to compute the asymptotically optimal

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

Example of LabelPropagation learning a complex internal structure to demonstrate ?manifold learning?. The outer circle should be labeled ?red

This example demonstrates how to generate a checkerboard dataset and bicluster it using the Spectral Biclustering algorithm. The data is

A comparison of different values for regularization parameter ?alpha? on synthetic datasets. The plot shows that different alphas yield different