https://github.com/anthonykrivonos/nba-ml
🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!
https://github.com/anthonykrivonos/nba-ml
basketball classifiers data fromscratch hardcoded machine-learning ml nba python science sports
Last synced: 25 days ago
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🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!
- Host: GitHub
- URL: https://github.com/anthonykrivonos/nba-ml
- Owner: anthonykrivonos
- License: mit
- Created: 2019-03-04T02:36:11.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-19T17:15:10.000Z (over 6 years ago)
- Last Synced: 2025-03-31T18:07:10.743Z (7 months ago)
- Topics: basketball, classifiers, data, fromscratch, hardcoded, machine-learning, ml, nba, python, science, sports
- Language: Python
- Homepage:
- Size: 163 KB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# NBA ML
🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!
## Getting Started
### Installing
`pip i requests csv nba_api numpy`
### Running
To update NBA game data:
`python3 data_grabber.py`
To run classification code:
`python3 classifier.py`
## Inspired By
* [CISC 5800 - Machine Learning](https://storm.cis.fordham.edu/leeds/cisc5800/) - By Dr. Leeds
## Authors
* **Anthony Krivonos** - *Initial work* - [Portfolio](https://anthonykrivonos.com)
* **Phil Tenteromano** - *Initial work*
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details