This page provides an overview of all the Modules available in PyCaret. A Module is a building block for creating experiments. Each module encapsulates specific machine learning algorithms and functions that are consistently used across different modules. For example, the
create_model function trains and evaluates a model in all modules. Depending on the type of experiment, one of the six available modules must be imported into the environment.