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PyCaret authored Apr 7, 2020
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# PyCaret
[![Stability](https://img.shields.io/badge/stability-stable-green.svg)](https://img.shields.io/badge/stability-stable-green.svg) [!Docs(https://readthedocs.org/projects/pip/badge/)](https://readthedocs.org/projects/pip/badge/) [![PyPI version](https://badge.fury.io/py/pycaret.svg)](https://badge.fury.io/py/pycaret) [![License](https://img.shields.io/pypi/l/ansicolortags.svg)](https://img.shields.io/pypi/l/ansicolortags.svg) [![Git count](http://hits.dwyl.com/pycaret/pycaret/pycaret.svg)](http://hits.dwyl.com/pycaret/pycaret/pycaret)
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## What is PyCaret?
PyCaret is an open source, `low-code` machine learning library in Python that aims to reduce the cycle time from hypothesis to insights. It enables data scientists and analysts to perform iterative end-to-end data science experiments efficiently and allows them to reach conclusions faster due to far less time spent in coding. 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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