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Updated README: Now uses Python 3.11
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@kyleskom
kyleskom committed Oct 25, 2023
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A machine learning AI used to predict the winners and under/overs of NBA games. Takes all team data from the 2007-08 season to current season, matched with odds of those games, using a neural network to predict winning bets for today's games. Achieves ~69% accuracy on money lines and ~55% on under/overs. Outputs expected value for teams money lines to provide better insight. The fraction of your bankroll to bet based on the Kelly Criterion is also outputted. Note that a popular, less risky approach is to bet 50% of the stake recommended by the Kelly Criterion.
## Packages Used

Use Python 3.8. In particular the packages/libraries used are...
Use Python 3.11. In particular the packages/libraries used are...

* Tensorflow - Machine learning library
* XGBoost - Gradient boosting framework
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1 comment on commit 09575f4

@luisro70
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Hola estoy tratando de utilizar tu modelo en pc utilizando
$ git clone https://github.com/kyleskom/NBA-Machine-Learning-Sports-Betting.git
$ cd NBA-Machine-Learning-Sports-Betting
$ pip3 install -r requirements.txt
$ python3 main.py -xgb -odds=fanduel

pero da un error File "/mnt/c/Users/luisr/OneDrive/Escritorio/luis/BOT DEPORTES/NBA-Machine-Learning-Sports-Betting/NBA-Machine-Learning-Sports-Betting/main.py", line 4, in
import pandas as pd
ModuleNotFoundError: No module named 'pandas'

como se hace actualmente

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