Welcome to the Football Match Scoreline Predictor! This project aims to predict football match scorelines using a machine learning model developed with Python.
- Introduction
- Features
- Versioning
- Installation
- Usage
- Contributing
- Code of Conduct
- License
- Security
- Contact
Predicting football match scorelines can be a complex task that involves analyzing various factors and data points. This project uses a LinearRegression model.
- Predict football match scorelines
- Customizable dataset
For this project, semantic versioning will be used. Right now I am planning to keep this project under alpha for the European Championship and promote the project to beta for the coming season. Hopefully the project will have advanced far enough after this season to release version 1
To install the required dependencies, please use the following command:
pip install -r requirements.txt
- Clone the repository:
git clone https://github.com/yourusername/Football-match-predictions.git
- Navigate to the project directory:
cd Football-match-predictions
- Ensure all dependencies are installed:
pip install -r requirements.txt
- Navigate to the directory with the correct files:
cd "Footbal match predictions"
- If you want to make predictions:
python Predictions.py
- If you want to add results:
python Results.py
- If you want to create an accuracy table:
python Accuracy.py
We welcome contributions from the community! Please read our CONTRIBUTING.md to get started. Here are a few ways you can contribute:
- Reporting bugs
- Suggesting enhancements
- Submitting pull requests
Please note that this project is released with a Code of Conduct. By participating in this project, you agree to abide by its terms.
This project is licensed under the MIT License. See the LICENSE file for more details.
For security vulnerabilities, please check our SECURITY.md file. If you discover a security vulnerability, please report it to footballpredictions.contact@gmail.com.
If you have any questions or need further assistance, feel free to reach out to us at footballpredictions.contact@gmail.com.