https://github.com/davide64-dev/feup_ac_wnba
🏀 | Dataset pre-processing and Machine Learning models training for WNBA plays-offs prediction.
https://github.com/davide64-dev/feup_ac_wnba
ac feup machine-learning ml wnba
Last synced: 4 months ago
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🏀 | Dataset pre-processing and Machine Learning models training for WNBA plays-offs prediction.
- Host: GitHub
- URL: https://github.com/davide64-dev/feup_ac_wnba
- Owner: Davide64-dev
- Created: 2025-01-16T17:56:16.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-01-17T10:21:30.000Z (5 months ago)
- Last Synced: 2025-01-17T11:27:36.634Z (5 months ago)
- Topics: ac, feup, machine-learning, ml, wnba
- Language: Jupyter Notebook
- Homepage:
- Size: 2.29 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# WNBA Prediction with Machine Learning
This repository uses data from WNBA dataset to train machine learning models that can predict whether a team goes, or not, to play-offs.
The development of this program is part of the curriculum for the [Machine Learning](https://sigarra.up.pt/feup/en/UCURR_GERAL.FICHA_UC_VIEW?pv_ocorrencia_id=540676) course.
## Running Instructions
The project can be used as a regular Jupyter Notebook.