This project involves analyzing data from La Liga, the top professional football division in Spain, to identify patterns in winning matches. By applying the FP-growth algorithm, a popular method for frequent pattern mining, the project aims to uncover insights into factors that contribute to successful outcomes for teams. The analysis includes data exploration and visualization to provide a comprehensive view of the patterns and trends within the dataset.

To set up the project, follow these steps:

1. Install Poetry

   If Poetry is not already installed, you can install it using the following command:

   curl -sSL https://install.python-poetry.org | python3 -

   For more installation options, refer to the Poetry documentation.

2. Install Project Dependencies

   Navigate to the project directory (if not already there) and install the dependencies:

   poetry install

   This command will create a virtual environment and install all required packages as specified in the pyproject.toml file.

3. Activate the Virtual Environment

   To activate the virtual environment created by Poetry, use:

   poetry shell

   This step is necessary to ensure that the installed packages are available for use.

This project is licensed under the MIT License - see the LICENSE file for details.