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:
-
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.
-
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. -
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.