cognilearn

A set of some ML utils frequently used by me while working as Data Scientist in Cognizant

Getting Started

These instructions will get you a copy of the library up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You need Python 3.x.x for sure, and following libraries

1. scikit-learn
2. pandas
3. matplotlib
4. seaborn

Installing

Follwoing step by step commands will tell you how to get a library running

1. Firstly install the prerequisites

pip install -r requirements.txt

2. Now build the wheel package

python setup.py sdist bdist_wheel

3. This command should output a lot of text and once completed should generate two files in the dist directory:

dist/
  cognilearn_adityajain-0.0.3-py3-none-any.whl
  cognilearn_adityajain-0.0.3.tar.gz

4. Go to dist directory and install package using following command

pip install cognilearn_adityajain-0.0.3-py3-none-any.whl

Package Discription/Tree

Currently package contains following features. More will be added soon

1. In cognilearn.metrics

   • sensitivity
   • specificity
   • accuracy
   • roc_curves
   • specificity_vs_sensitivity
   • confusion_matrix_modified

2. In cognilearn.feature_selection

   • backward_selection
   • forward_selection

3. In cognilearn.analysis

   • decile_analysis
   • information_value
   • prepareDeciles

4. In cognilearn.preprocessing

   • correlation_graph

5. In cognilearn.ensemble

   • Stacker

Contributing

Please feel free to contribute to the library. If you have something which can ease the work of data scientist around the world, just fork repository and give a pull request or directly contact me and provide code snippet. I would love to put your name in contributors.

Versioning

Current version is 0.0.3. We will release new version every month.

Authors

• Aditya Jain - Portfolio

See also the list of contributors who participated in this project.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE.md file for details

Acknowledgments

• Keshav Kumar
• Cognizant Data Science Team