PyCaret is an open source `low-code` machine learning library in Python that aims to reduce the hypothesis to insights cycle time in a ML experiment. It enables data scientists to perform end-to-end experiments quickly and efficiently. In comparison with the other open source machine learning libraries, PyCaret is an alternate low-code library that can be used to perform complex machine learning tasks with only few lines of code. PyCaret is essentially a Python wrapper around several machine learning libraries and frameworks such as `scikit-learn`, `XGBoost`, `Microsoft LightGBM`, `spaCy` and many more.
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## Dependencies
Please read requirements.txt for list of requirements. They are automatically installed when pycaret is installed using pip.
If you would like to contribute to PyCaret, please visit https://www.pycaret.org/contribute
