This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions

Using orthogonal matching pursuit for recovering a sparse signal from a noisy measurement encoded with a dictionary print(__doc__)

The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations

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

This example uses a large dataset of faces to learn a set of 20 x 20 images patches that constitute faces. From the programming standpoint

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

The PCA does an unsupervised dimensionality reduction, while the logistic regression does the prediction. We use a GridSearchCV to

A tutorial exercise using Cross-validation with an SVM on the Digits dataset. This exercise is used in the

Illustration of how the performance of an estimator on unseen data (test data) is not the same as the performance on training data. As the regularization increases