This is documentation for an old release of Scikit-learn (version 1.4). Try the latest stable release (version 1.6) or development (unstable) versions.

Preprocessing

Examples concerning the sklearn.preprocessing module.

Compare the effect of different scalers on data with outliers

Compare the effect of different scalers on data with outliers

Comparing Target Encoder with Other Encoders

Comparing Target Encoder with Other Encoders

Demonstrating the different strategies of KBinsDiscretizer

Demonstrating the different strategies of KBinsDiscretizer

Feature discretization

Feature discretization

Importance of Feature Scaling

Importance of Feature Scaling

Map data to a normal distribution

Map data to a normal distribution

Target Encoder’s Internal Cross fitting

Target Encoder's Internal Cross fitting

Using KBinsDiscretizer to discretize continuous features

Using KBinsDiscretizer to discretize continuous features