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Pycaret is an open source, low-code Machine Learning library based on Python. This solution automates the end-to-end machine learning workflow. By automating tasks and managing ML models, PyCaret speeds up the experimentation cycle. As a result, data scientists are much more productive and able to develop even more powerful machine learning models.

PyCaret is more than just a Python-based ML library. And for good reason, it encompasses several machine learning libraries and frameworks. For example: scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, etc.

Best of all, its a ready-to-deploy Python library. In other words, every step of an ML experience can be reproduced from one environment to another.

Good to know: PyCaret also integrates with many other solutions, such as Microsoft Power BI, Tableau, Alteryx and KNIME. So you can add a layer of machine learning to all your business intelligence work. And its easy to do.

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PyCaret: Everything you need to know about this Python library - DataScientest