This repository contains an end-to-end machine learning project that predicts football match outcomes based on some key features.

The repository contains as follows:

• Predicting football match Outcome.ipynb: This notebook contains the data cleaning, EDA and machine learning process.
• webscraping.py: A python script that scrapes football match statistics.

To use webscraping.py, follow these steps:

1. Install the necessary dependencies by running the following command:

    pip install -r requirements.txt 

2. Launching the Scraper from Command Terminal:

   Run

   python webscraping.py -s start_year -e end_year

   script from your command line to start webscraping.

   NOTE: Make sure you are in the project directory. Change star_year and end_year to any year of your choice