https://github.com/fahadh31/nba_lineup_predictions
A model to predict the optimal 5th player for an incomplete NBA lineup. Project for Machine Learning.
https://github.com/fahadh31/nba_lineup_predictions
machine-learning pandas scikit-learn
Last synced: 9 months ago
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A model to predict the optimal 5th player for an incomplete NBA lineup. Project for Machine Learning.
- Host: GitHub
- URL: https://github.com/fahadh31/nba_lineup_predictions
- Owner: FahadH31
- Created: 2025-03-04T20:13:37.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-05-05T23:57:03.000Z (about 1 year ago)
- Last Synced: 2025-06-27T03:45:47.508Z (12 months ago)
- Topics: machine-learning, pandas, scikit-learn
- Language: Python
- Homepage:
- Size: 5.75 MB
- Stars: 2
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🏀 NBA Lineup Predictions
## Group 21
- Fahad Hussain
- Rajiv Lomada
- Kevaun Harris
## 🚀 Run our Code
### Option 1: Run the Python Script
```bash
# Clone the repository
git clone https://github.com/FahadH31/nba_lineup_predictions.git
cd nba_lineup_predictions
# Install dependencies
pip install pandas scikit-learn joblib numpy
# Run the prediction model
python predict_nba_model.py
```
### Option 2: Explore the Jupyter Notebook
```bash
# Clone the repository
git clone https://github.com/FahadH31/nba_lineup_predictions.git
cd nba_lineup_predictions
# Install dependencies (if not already installed)
!pip install pandas scikit-learn joblib numpy
# Open the Jupyter Notebook
jupyter notebook NBA_Lineup_Predictions.ipynb
```
Then run the last cell at the end of the notebook (containing the final code) to see the complete results.
## Results:
