Metadata-Version: 2.1
Name: data-science-utils
Version: 1.4
Summary: This project is an ensemble of methods which are frequently used in python Data Science projects.
Home-page: https://datascienceutils.readthedocs.io/en/latest/
Author: Idan Morad
License: MIT License
Keywords: data-science utilities python machine-learning scikit-learn matplotlib
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: tox
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy (>=1.3)
Requires-Dist: pandas (>=0.23.0)
Requires-Dist: matplotlib (<=3.0.3,>2.02)
Requires-Dist: seaborn (>=0.8.0)
Requires-Dist: scikit-learn (>=0.19.0)
Requires-Dist: pydotplus (>=2.0.2)
Requires-Dist: joblib (>=0.12)

# Data Science Utils: Frequently Used Methods for Data Science
[![License: MIT](https://img.shields.io/github/license/idanmoradarthas/DataScienceUtils)](https://opensource.org/licenses/MIT)
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[![GitHub issues](https://img.shields.io/github/issues/idanmoradarthas/DataScienceUtils)](https://github.com/idanmoradarthas/DataScienceUtils/issues)
[![Documentation Status](https://readthedocs.org/projects/datascienceutils/badge/?version=latest)](https://datascienceutils.readthedocs.io/en/latest/?badge=latest)

Data Science Utils extends the Scikit-Learn API and Matplotlib API to provide simple methods that simplify task and 
visualization over data. 

## Contributing
Interested in contributing to Data Science Utils? Great! You're welcome,  and we would love to have you. We follow 
the [Python Software Foundation Code of Conduct](http://www.python.org/psf/codeofconduct/) and 
[Matplotlib Usage Guide](https://matplotlib.org/tutorials/introductory/usage.html#coding-styles).

No matter your level of technical skill, you can be helpful. We appreciate bug reports, user testing, feature 
requests, bug fixes, product enhancements, and documentation improvements.

Thank you for your contributions!

## Find a Bug?
Check if thereâ€™s already an open [issue](https://github.com/idanmoradarthas/DataScienceUtils/issues) on the topic. If 
needed, file an issue.

## Open Source
Data Science Utils license is [MIT License](https://opensource.org/licenses/MIT). 

## Installing Data Science Utils
Data Science Utils is compatible with Python 3.6 or later. The simplest way to install Data Science Utils and its 
dependencies is from PyPI with pip, Python's preferred package installer:
```bash
pip install data_science_utils
```
Note that this package is an active project and routinely publishes new releases with more methods.  In order to 
upgrade Data Science Utils to the latest version, use pip as follows:
```bash
pip install -U data_science_utils
```
Alternatively you can install from source by cloning the repo and running:
```bash
git clone https://github.com/idanmoradarthas/DataScienceUtils.git
cd DataScienceUtils
python setup.py install
```
Or install using pip from source:
```bash
pip install git+https://github.com/idanmoradarthas/DataScienceUtils.git
```

# Read the Documentation
[https://datascienceutils.readthedocs.io/en/latest/](https://datascienceutils.readthedocs.io/en/latest/)

