From 710c9a51aa9737bef14185ace34592dce3198023 Mon Sep 17 00:00:00 2001 From: PyCaret Date: Fri, 31 Jul 2020 01:33:19 -0400 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 10d8452..8524fe0 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ # PyCaret -[![Build] (https://travis-ci.com/pycaret/pycaret.svg?branch=master)][![Stability](https://img.shields.io/badge/stability-stable-green.svg)](https://img.shields.io/badge/stability-stable-green.svg) [![Documentation Status](https://readthedocs.org/projects/pip/badge/?version=stable)](http://pip.pypa.io/en/stable/?badge=stable) [![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) +[![Stability](https://img.shields.io/badge/stability-stable-green.svg)](https://img.shields.io/badge/stability-stable-green.svg) [![Documentation Status](https://readthedocs.org/projects/pip/badge/?version=stable)](http://pip.pypa.io/en/stable/?badge=stable) [![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) ## What is PyCaret? 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. -- GitLab