Metadata-Version: 2.1
Name: rearden
Version: 0.0.1
Summary: Library of useful data structures for data preprocessing, vizualizations and grid search
Author-email: Sergey Polivin <s.polivin@gmail.com>
License: MIT License
        
        Copyright (c) 2023 Sergey Polivin
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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Project-URL: Homepage, https://github.com/spolivin/rearden
Project-URL: Bug Tracker, https://github.com/spolivin/rearden/issues
Project-URL: Pull requests, https://github.com/spolivin/rearden/pulls
Project-URL: Source, https://github.com/spolivin/rearden/tree/master/src/rearden
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: precommit
Provides-Extra: linters
Provides-Extra: formatters
License-File: LICENSE.txt

# Rearden [Data Science/Machine Learning Library]

This library was developed after the completion of "Data Science Specialist" specialization from Yandex Practicum.

The library consists of modules containing useful functions and classes which I came up with during completing the course and which simplify the process of conducting data analysis (data preprocessing and data vizualization) as well as hyperparameter selection via grid search.

This library has been used and verified in the [projects](https://github.com/spolivin/yandex_practicum_projects) completed during completing the Data Science course in Yandex Practicum.
