makispl/ml-nba-transfer-suggestion-app
Create you ML application to. predict the next best NBA transaction, using data from NBA API.
This project helps NBA General Managers and scouts by providing data-driven recommendations for player transfers. It takes historical player statistics from the NBA API and uses machine learning to identify players who would best fit a team's needs, outputting a ranked list of transfer candidates. This tool is designed for front-office personnel involved in player acquisition and team strategy.
No commits in the last 6 months.
Use this if you are an NBA decision-maker looking for a systematic, data-backed approach to identify the best player transfer targets for a specific position to enhance team performance.
Not ideal if you are solely relying on traditional scouting methods or only need basic player statistics without predictive analysis.
Stars
10
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 10, 2021
Commits (30d)
0
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