This repository contains code and resources for analyzing football matches between men and women. The analysis includes the use of three classifiers and unsupervised analysis techniques to explore patterns and differences between male and female football matches.

• dataset/: Directory for storing datasets used in the analysis.
• code/: R code files containing the analysis code.
• Report.pdf: Report including results, discussions and visualizations.
• README.md: This file providing an overview of the project.

1. Clone this repository:

   git clone https://github.com/jyanqa/football-analytics.git 

2. Navigate to the project directory:

   cd football-analytics 

3. Install dependencies:

   pip install -r requirements.txt 

• Classifier Comparison: Three classifiers (e.g., Logistic Regression, Decision Trees, Gaussian process) are used to distinguish between male and female football matches. Evaluation metrics and visualizations are provided.
• Unsupervised Analysis: Utilizes unsupervised learning techniques such as Principal Component Analysis (PCA) for exploring patterns and differences in the dataset without using labels.

Contributions to improve the analysis or add new features are welcome. Feel free to open issues for any bugs or suggestions.

This project is licensed under the MIT License.