Metadata-Version: 2.1
Name: MLUtilities
Version: 1.0.0
Summary: A collection of tools for machine learning preprocessing
Home-page: https://github.com/NanaAkwasiAbayieBoateng/MLUtilies
Author: Nana  Boateng
Author-email: unltd148@yahoo.co.uk
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/NanaAkwasiAbayieBoateng/MLUtilies/issues
Project-URL: Funding, http://restanalytics.com/
Project-URL: Say Thanks!, http://restanalytics.com/
Project-URL: Source, https://github.com/NanaAkwasiAbayieBoateng/MLUtilies
Description: # MLUtilities
        A collection of scripts for ML utilization
        
        
        
        ![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")
        
        This package contains utility function for machine learning model building and data preprocessing such as
        removing highly correlated features, date feature engineering,confusion matrix visualization, multilabel encoding,
        missing value imputation, lift calculation and boolean feature encoding based on lift ratios.
        
        
        ----
        
        This is the README file for the project.
        
        The file should use UTF-8 encoding and can be written using
        [reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
        use]. It will be used to generate the project webpage on PyPI and will be
        displayed as the project homepage on common code-hosting services, and should be
        written for that purpose.
        
        Typical contents for this file would include an overview of the project, basic
        usage examples, etc. Generally, including the project changelog in here is not a
        good idea, although a simple “What's New” section for the most recent version
        may be appropriate.
        
        [packaging guide]: https://packaging.python.org
        [distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
        [src]: https://github.com/NanaAkwasiAbayieBoateng/MLUtilies
        [rst]: http://docutils.sourceforge.net/rst.html
        [md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
        [md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
        
        
Keywords: machine learning,date feature engineering,
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
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: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Description-Content-Type: text/markdown
