The Iris dataset represents 3 kind of Iris flowers (Setosa, Versicolour and Virginica) with 4 attributes: sepal length, sepal width,

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

In many real-world examples, there are many ways to extract features from a dataset. Often it is beneficial to combine several methods to obtain

An application of the different

Plot decision function of a weighted dataset, where the size of points is proportional to its weight.

This example shows how to use cross_val_predict to visualize prediction errors.

In this example, an image with connected circles is generated and spectral clustering is used to separate the circles. In these settings, 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

Plot the density estimation of a mixture of two Gaussians. Data is generated from two Gaussians with different centers and covariance matrices.

This data sets consists of 3 different types of irises? (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray The rows being the