WinWizard is a data-driven project that scrapes statistical data from FBref (sports search engine) and uses machine learning to predict the winning chances of teams in upcoming matches. This project leverages Python, Beautiful Soup, Pandas, and Scikit-learn to analyze and model the data for accurate predictions.
- Web Scraping: Extracts comprehensive Premier League statistics using Beautiful Soup.
- Data Processing: Cleans and organizes the data with Pandas.
- Machine Learning: Utilizes Scikit-learn to build predictive models.
- Prediction: Provides winning probabilities for upcoming matches.
- Python: Core programming language used for the project.
- Beautiful Soup: Used for web scraping to extract data from the Premier League stats website.
- Pandas: Utilized for data manipulation and analysis.
- Scikit-learn: Employed for building and training machine learning models.
