NBA-betting-ML

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NBA Machine Learning Tools

NBA-betting-ML 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# NBA Machine Learning and Market Analysis Tools 🏀

### Features
- Game prediction model trained on 20,000+ games with 500+ data points per game
- Pre-game analysis with player stats, injuries, and Vegas odds
- Custom model training with configurable parameters
- Real-time score updates and performance tracking
- Profile statistics for prediction accuracy and ROI

### Game Analysis
- View and edit player stats 
- Remove injured players
- Check Vegas odds and injury reports
- Review last game performance
- Generate game score predictions

### Model Training
- Configure layers, neurons, batch size
- Set activation functions and optimizers 
- Enable early stopping and regularization
- Monitor training via Tensorboard

### Performance Tracking
- Win/Loss percentage
- Spread accuracy 
- Margin-based evaluations
- Profit/loss calculations

## Data Features

Core statistics tracked per player:
- Shooting: FG%, 3P%, FT%
- Scoring: Points, assists
- Defense: Blocks, steals, rebounds
- Other: Minutes, fouls, turnovers

Team metrics:
- Win/loss records
- Recent performance
- Point spreads
- Historical matchups

## Data Feature Correlation:
h : home, v : visitor, w : win, l : loss
<img  src="https://i.imgur.com/xJMmvZR.png"  width="800"  height="400"  />

# Live Server:
## [FireBet.ai](https://FireBet.ai)

## Setup and Development

#### Step 1: Clone the Repository

To begin, you need to clone the repository to your local machine. Open your terminal and run the following command:

```bash
git clone https://github.com/davidlang422/NBA-betting-ML
```

---

#### Step 2: Set Up a Virtual Environment
Next, navigate to the project directory and create a virtual environment. This will isolate the project's dependencies from your system-wide Python installation. Run the following command:
```bash
python3 -m venv env
source env/bin/activate
```

---

#### Step 4: Install Dependencies
With the virtual environment activated, you can now install the project dependencies. The required packages are listed in the requirements.txt file. Run the following command to install them:
```bash

pip3 install -r requirements.txt
```

---

#### Step 5: Start the Development Server
Now that you have completed all the setup steps, you can start the development server. Run the following command:
```bash
python3 manage.py runserver
```
Allow the server to start, 1-3 minutes, then navigate to the login url and use demo account.

http://localhost:8000/login/

NBA-betting-ML

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