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Neural networks to model data from the premier league. Utilizes raw data from APIs such as understat, FPL, and otherwise.

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Performance Analysis for Premier League via Neural Nets

This project is used a personal self-study into developing neuaral networks to interpret data from the premier league.

Project Structure

This project is organized into several directories, each serving a specific purpose:

    premeir-league-nn/
    ├── data/           # Data used/referenced for model buildingUnderstat darta + FPL
    ├── tests/               # Sample unit testing modules
    ├── README.md            # Project overview and documentation
    └── requirements.txt     # List of dependencies required to run the project

Getting Started

To run this project, you will need Python installed on your machine along with the required libraries. Current version utilizations being utilzied locally are as follows:

  • Python (3.11.7)
  • Virtual environment created using Python 3.11 (Not required but suggested)

To create and activate virtual environment:

python -m venv .venv_fpl
source .venv_fpl/bin/activate  # Linux/Mac
# or
.venv_fpl\Scripts\activate  # Windows

ipython kernel install --user --name=".venv_fpl" --display-name="FPL Analytics"

Acknowledgements

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IBM License

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Neural networks to model data from the premier league. Utilizes raw data from APIs such as understat, FPL, and otherwise.

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