https://github.com/adityajn105/cognilearn
A set of some Machine Learning utils frequently used by me while working as Data Scientist in Cognizant
https://github.com/adityajn105/cognilearn
business-analytics cognilearn data-science decile-analysis
Last synced: 2 months ago
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A set of some Machine Learning utils frequently used by me while working as Data Scientist in Cognizant
- Host: GitHub
- URL: https://github.com/adityajn105/cognilearn
- Owner: adityajn105
- License: gpl-3.0
- Created: 2019-03-13T19:41:26.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-05T18:54:16.000Z (over 6 years ago)
- Last Synced: 2025-03-05T13:52:45.256Z (7 months ago)
- Topics: business-analytics, cognilearn, data-science, decile-analysis
- Language: Python
- Homepage:
- Size: 36.1 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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](https://adityajn105.github.io)
See also the list of [contributors](https://github.com/adityajn105/cognilearn/graphs/contributors) who participated in this project.
## License
This project is licensed under the GNU General Public License v3.0 - see the [LICENSE.md](https://github.com/adityajn105/cognilearn/blob/master/LICENSE) file for details
## Acknowledgments
* Keshav Kumar
* Cognizant Data Science Team