How does PyCaret work?

PyCaret is an open-source, low-code machine learning library in Python that aims to reduce the cycle time from hypothesis to insights.

The variety of machine learning techniques in combination with the solid implementations that scikit-learn offers makes it a one-stop-shopping library for machine learning in Python . Moreover, its consistent API, well-tested code and permissive licensing allow us to use it in a production environment.

PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code . At its core, PyCaret is basically just a large wrapper over many data science libraries such as Scikit-learn, Yellowbrick, SHAP, Optuna, and Spacy.