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Learn how to use [PyCaret](https://github.com/pycaret/pycaret) for automated machine learning, with tracking and scaling in Azure ML. |
"PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes in your choice of notebook environment." It supports:
- Classification
- Regression
- Clustering
- Anomaly Detection
- Natural Language Processing (NLP)
- Assocation Rules
As of PyCaret 2.2, GPUs can also be used for select model training and hyperparameter tuning with no changes to the use of API. See PyCaret documentation for details.
In this tutorial, the following notebooks demonstrate using PyCaret with mlflow tracking: