PyCaret

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive.

The PyCaret library provides these features, allowing the machine learning practitioner in Python to spot check a suite of standard machine learning algorithms on a classification or regression dataset with a single function call.

The PyCaret library automates many steps of a machine learning project, such as:

• Defining the data transforms to perform (setup())
• Evaluating and comparing standard models (compare_models())
• Tuning model hyperparameters (tune_model())

As well as many more features not limited to creating ensembles, saving models, and deploying models.

PyCaret library is wrapped around some machine learning libraries such as sklearn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more.