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A Python project for sports and data analysis using multiple Excel files. Includes a main script and datasets to test, modify, and compute results, with IDE configuration files for easy development and reproducibility.

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MatALass/ML_Football

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Accuracy_max.xlsx
Accuracy_max.xlsx
 
 
README.md
README.md
 
 
Try Foot.ipynb
Try Foot.ipynb
 
 
Untitled-checkpoint.ipynb
Untitled-checkpoint.ipynb
 
 
Untitled.ipynb
Untitled.ipynb
 
 
Untitled2.ipynb
Untitled2.ipynb
 
 
Wimbledon_2025_Pari_Analyse_EthanQuinn_vs_Majchrzak.ipynb
Wimbledon_2025_Pari_Analyse_EthanQuinn_vs_Majchrzak.ipynb
 
 
arborescence.txt
arborescence.txt
 
 
fichier1_modifié_avec_tests_et_M2.xlsx
fichier1_modifié_avec_tests_et_M2.xlsx
 
 
foot (version 1).xlsb.xlsx
foot (version 1).xlsb.xlsx
 
 
foot.xlsx
foot.xlsx
 
 
foot_avant.xlsx
foot_avant.xlsx
 
 
main.py
main.py
 
 
matches.csv
matches.csv
 
 
new.py
new.py
 
 
no.ipynb
no.ipynb
 
 
oi.py
oi.py
 
 
other.py
other.py
 
 
premier_league_season_matches.csv
premier_league_season_matches.csv
 
 
top_5_leagues_match_data.csv
top_5_leagues_match_data.csv
 
 
try foot.py
try foot.py
 
 
ui.py
ui.py
 
 

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Sports Data Analysis Project

📌 Description

This project is a Python-based data analysis tool that processes several Excel files.
It provides testing, computation, and comparison features for sports-related datasets.

🚀 Features

  • Python script (main.py) for analysis
  • Multiple Excel datasets (foot.xlsx, Accuracy_max.xlsx, etc.)
  • Supports testing and modified versions for validation
  • Configured for use with IDEs (PyCharm .idea/)

📂 Project Structure

  • main.py → Main Python analysis script
  • *.xlsx → Excel datasets for testing and analysis
  • .idea/ → IDE configuration files

🔧 Installation

  1. Clone or download this repository.
  2. Ensure you have Python 3.8+ installed.
  3. Install required packages (if any, see below).

▶️ Usage

python main.py

About

A Python project for sports and data analysis using multiple Excel files. Includes a main script and datasets to test, modify, and compute results, with IDE configuration files for easy development and reproducibility.

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