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low-code machine learning

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.

Fast + Explainable + Scalable

PyCaret is a simple, easy to learn, low-code machine learning library in Python. With PyCaret, you spend less time coding and more time on analysis.

Modules

PyCaret is modular by design. Each module encapsulates specific machine learning tasks.

Functions

Functions are sets of actions in PyCaret that perform tasks in a workflow. They are consistent across modules. 

Preprocessing

There are many data preprocessing functions you can choose from. From scaling to feature engineering.

Tutorials

There are tons of interesting stuff out there to help you learn PyCaret. You can start with our official tutorials.

PYCARET IS EASY AND FUN TO WORK

PYCARET IS DEMOCRATIZING MACHINE LEARNING ?

PyCaret empowers anyone to build low-code, powerful, end-to-end machine learning solutions. There are tons of ways for you to get started.

MLOPS + EXPERIMENT TRACKING + DEPLOY ON CLOUD + MONITOR DRIFT

end-to-end machine learning. from EDA to Deployment ?

With PyCaret, you don’t have to leave your Notebook. Train your model, analyze it, iterate faster than ever before, and deploy it instantaneously as a REST API or even build a simple front-end ML app. All from the comfort of your Notebook.

If you would like to sponsor this project, please reach out at moez.ali@pycaret.org. There are many ways you can support the project. Give us a ⭐ on GitHub. Follow on LinkedIn. Subscribe to YouTube. We have a cool meetup group as well.