Data Science Utils: Frequently Used Methods for Data Science

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 and Matplotlib Usage Guide.

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 there’s already an open issue on the topic. If needed, file an issue.

Open Source

Data Science Utils license is MIT License.

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:

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:

pip install -U data_science_utils

Alternatively you can install from source by cloning the repo and running:

git clone https://github.com/idanmoradarthas/DataScienceUtils.git
cd DataScienceUtils
python setup.py install

Or install using pip from source:

pip install git+https://github.com/idanmoradarthas/DataScienceUtils.git

Read the Documentation

https://datascienceutils.readthedocs.io/en/latest/