Metadata-Version: 2.1
Name: mlearner
Version: 0.2.6
Summary: Machine Learning Library Extensions
Home-page: https://github.com/jaisenbe58r/MLearner
Author: Jaime Sendra
Author-email: jaisenberafel@gmail.com
License: MIT
Download-URL: https://github.com/jaisenbe58r/MLearner/archive/v0.0.2.tar.gz
Description: 
        ![Carpeta](./docs/sources/img/Carpeta.PNG)
        
        ---
        # MLearner: Machine Learning for Data Engineer
        <br>
        
        
        [![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)
        
        [![made-for-VSCode](https://img.shields.io/badge/Made%20for-VSCode-1f425f.svg)](https://code.visualstudio.com/)
        ![Python](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue)
        [![GitHub release](https://img.shields.io/github/release/jaisenbe58r/MLearner.svg)](https://GitHub.com/jaisenbe58r/MLearner/releases/)
        [![GitHub commits](https://img.shields.io/github/commits-since/jaisenbe58r/MLearner/v0.1.1.svg)](https://GitHub.com/jaisenbe58r/MLearner/commit/)
        [![PyPI Latest Release](https://badge.fury.io/py/mlearner.svg)](https://pypi.org/project/mlearner/)
        [![Build status](https://ci.appveyor.com/api/projects/status/7vx20e0h5dxcyla2/branch/master?svg=true)](https://ci.appveyor.com/project/jaisenbe58r/MLearner/branch/master)
        [![Codacy Badge](https://api.codacy.com/project/badge/Grade/2f5b0302acc04a3dac74d6815fdf66e5)](https://www.codacy.com/manual/jaisenbe58r/MLearner?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=jaisenbe58r/MLearner&amp;utm_campaign=Badge_Grade)
        [![Build Status](https://travis-ci.org/jaisenbe58r/MLearner.svg?branch=master)](https://travis-ci.org/jaisenbe58r/MLearner)
        [![codecov](https://codecov.io/gh/jaisenbe58r/MLearner/branch/master/graph/badge.svg)](https://codecov.io/gh/jaisenbe58r/MLearner)
        [![License](https://img.shields.io/badge/license-MIT-ORANGE.svg)](https://github.com/jaisenbe58r/MLearner/blob/master/LICENSE)
        [![Documentation Status](https://readthedocs.org/projects/ansicolortags/badge/?version=latest)](http://ansicolortags.readthedocs.io/?badge=latest)
        [![DOI](https://zenodo.org/badge/256283484.svg)](https://zenodo.org/badge/latestdoi/256283484)
        [![GitHub contributors](https://img.shields.io/github/contributors/jaisenbe58r/MLearner.svg)](https://GitHub.com/jaisenbe58r/MLearner/graphs/contributors/)
        [![GitHub issues](https://img.shields.io/github/issues/jaisenbe58r/MLearner.svg)](https://GitHub.com/jaisenbe58r/MLearner/issues/)
        [![Discuss](https://img.shields.io/badge/discuss-DISCORD-PURPLE.svg)](https://discord.gg/HUxahg)
        [![GitHubIssues](https://img.shields.io/badge/issue_tracking-github-violet.svg)](https://github.com/jaisenbe58r/MLearner/issues)
        [![saythanks](https://img.shields.io/badge/say-thanks-ff69b4.svg)](https://saythanks.io/to/kennethreitz)
        
        
        
        
        
        **MLearner is a Python library of useful tools for the day-to-day data science tasks.**
        
        
        
        Jaime Sendra Berenguer - Spain - 2018-2022
        [![Linkedin](https://i.stack.imgur.com/gVE0j.png) LinkedIn](https://linkedin.com/in/jaisenbe)
        [![GitHub](https://i.stack.imgur.com/tskMh.png) GitHub](https://github.com/jaisenbe58r)
        
        
        
        <br>
        
        ## Links
        
        
        - **Documentation:** [https://jaisenbe58r.github.io/MLearner/](https://jaisenbe58r.github.io/MLearner/)
        - PyPI: [https://pypi.python.org/pypi/mlearner](https://pypi.python.org/pypi/mlearner)
        - Changelog: [https://jaisenbe58r.github.io/MLearner//CHANGELOG](https://jaisenbe58r.github.io/MLearner//CHANGELOG)
        - Contributing: [https://jaisenbe58r.github.io/MLearner//CONTRIBUTING](https://jaisenbe58r.github.io/MLearner//CONTRIBUTING)
        - Questions? Check out the [Discuss](https://discord.gg/HUxahg)
        
        <br>
        <br>
        
        ## Installing mlearner
        
        #### PyPI
        
        To install mlearner, just execute  
        
        ```bash
        pip install mlearner  
        ```
        
        Alternatively, you could download the package manually from the Python Package Index [https://pypi.python.org/pypi/mlearner](https://pypi.python.org/pypi/mlearner), unzip it, navigate into the package, and use the command:
        
        ```bash
        python setup.py install
        ```
        
        #### Conda
        If you use conda, to install mlearner just execute
        
        ```bash
        conda install -c conda-forge mlearner 
        ```
        
        #### Dev Version
        
        The mlearner version on PyPI may always be one step behind; you can install the latest development version from the GitHub repository by executing
        
        ```bash
        pip install git+git://github.com/jaisenbe58r/MLearner.git#egg=mlearner
        ```
        
        Or, you can fork the GitHub repository from https://github.com/jaisenbe58r/MLearner and install mlearner from your local drive via
        
        ```bash
        python setup.py install
        ```
        
        
        ---
        
        ## License
        
        
        ## Contact
        
        
Keywords: SOME,MEANINGFULL,KEYWORDS
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.6
Description-Content-Type: text/markdown
