luke-lite/NBA-Prediction-Modeling
Using machine learning to predict the outcome of NBA games.
This project helps sports enthusiasts, fantasy league organizers, or sports news websites predict NBA game outcomes. It takes historical NBA boxscore statistics from the past 10 seasons as input and outputs predictions for game winners. The primary users are individuals or organizations who want a reliable benchmark for NBA game predictions.
No commits in the last 6 months.
Use this if you need a baseline machine learning or algorithmic model for predicting NBA game winners based on team performance statistics.
Not ideal if you require highly responsive predictions that account for real-time player injuries, trades, or detailed individual player statistics.
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46
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4
Language
Jupyter Notebook
License
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Category
Last pushed
Aug 16, 2024
Commits (30d)
0
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