DMP NBA Player Dataset & Prediction Model
收藏Zenodo2025-04-28 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.15294854
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资源简介：
This project analyzes historical NBA data (2012-2024, sourced from Kaggle) using a multi-output Random Forest model (scikit-learn) to predict key player statistics (points, rebounds, etc.). The experiment emphasizes reproducibility and FAIR data practices, producing the trained model, evaluation metrics, visualizations, FAIR4ML metadata, and this DMP as outputs. This work is part of the TU Wien Data Stewardship lecture.
Github: https://github.com/bubaltali/nba-prediction-analysis/
DBRepo: https://test.dbrepo.tuwien.ac.at/database/2e167490-c803-4a9a-a317-6e274c6b3a37/info
TUWRD. https://handle.test.datacite.org/10.70124/ymgzs-z3s43
The data was taken from: https://www.kaggle.com/datasets/shivamkumar121215/nba-stats-dataset-for-last-10-years/data
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Zenodo创建时间：
2025-04-28
