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Exploring the impact of age, retirement risk, and other relevant attributes on footballers' market values by using survival analysis and regression models

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Beyond the Pitch: A Data-Driven Approach to Player Careers and Valuations in Football - Project Structure

Introduction

This repository hosts all the necessary resources for the "Beyond the Pitch: A Data-Driven Approach to Player Careers and Valuations in Football" project.

Table of Contents

Project Structure

Code

Located in the "code" folder:

  • Project_Notebook.ipynb: Main Jupyter Notebook where all the analyses are performed.
  • utils.py: This file, contains all the functions used in Project_Notebook.ipynb.
  • /models: This folder contains the results of the prediction models for all variants.

Data

Located in the "data" folder:

  • This directory contains both the raw and processed data utilized in the project.

Additional Folders

  • images: Images used in reports.

Installation

Ensure Python 3.10.11 is installed and then run:

  • pip install -r requirements.txt

Usage

To run the notebook and recreate results:

  1. Navigate to the project directory.
  2. Run Project_Notebook.ipynb using the "Run All" feature in VS Code or another IDE.

Contributors

This project was created by:

  • Gino F. Fazzi
  • Veron Hoxha
  • Constantin-Bogdan Craciun

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Exploring the impact of age, retirement risk, and other relevant attributes on footballers' market values by using survival analysis and regression models

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