dataprep-ml


Namedataprep-ml JSON
Version 24.5.1.1 PyPI version JSON
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home_pageNone
SummaryAutomated dataframe analysis for Machine Learning pipelines.
upload_time2024-05-14 17:10:06
maintainerNone
docs_urlNone
authorMindsDB Inc.
requires_python<3.12,>=3.8
licenseGPL-3.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # MindsDB - `dataprep_ml`
Data utilities for Machine Learning pipelines.

<h1 align="center">
	<img width="300" src="https://github.com/mindsdb/mindsdb_native/blob/stable/assets/MindsDBColorPurp@3x.png?raw=true" alt="MindsDB">
	<br>

</h1>
<div align="center">
	<a href="https://github.com/mindsdb/dataprep_ml/actions/workflows/python-package.yml"><img src="https://github.com/mindsdb/dataprep_ml/actions/workflows/python-package.yml/badge.svg?branch=stable" alt="DataprepML workflow"></a>
  <a href="https://www.python.org/downloads/" target="_blank"><img src="https://img.shields.io/badge/python-3.8.x|%203.9.x-brightgreen.svg" alt="Python supported"></a>
  <a href="https://badge.fury.io/py/dataprep-ml"><img src="https://badge.fury.io/py/dataprep-ml.svg" alt="PyPI version" height="18"></a>
<img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/dataprep-ml">  
    <a href="https://join.slack.com/t/mindsdbcommunity/shared_invite/zt-o8mrmx3l-5ai~5H66s6wlxFfBMVI6wQ" target="_blank"><img src="https://img.shields.io/badge/slack-@mindsdbcommunity-brightgreen.svg?logo=slack " alt="MindsDB Community"></a>
	</br>
	
  <h3 align="center">
    <a href="https://www.mindsdb.com?utm_medium=community&utm_source=github&utm_campaign=mindsdb%20repo">Website</a>
    <span> | </span>
    <a href="https://mindsdb.github.io/dataprep_ml/">Docs</a>
    <span> | </span>
    <a href="https://join.slack.com/t/mindsdbcommunity/shared_invite/zt-o8mrmx3l-5ai~5H66s6wlxFfBMVI6wQ">Community Slack</a>
    <span> | </span>
    <a href="https://github.com/mindsdb/mindsdb/projects">Contribute</a>
    <span> | </span>
    <a href="https://mindsdb.com/hacktoberfest">Hacktoberfest</a>
  </h3>
  
</div>


## Submodules

1. Data cleaning
2. Data analysis
3. Data splitting

            

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