Predicting PL Winner: Web Scraping & Machine Learning with Python

This practice project further explores how web scraping and machine learning with Python can be used to analyse and predict outcomes in the English Premier League (EPL).

Learning Objectives

• 🕸️ Web Scraping: Collected live team and player statistics using BeautifulSoup and cloudscraper.

• 📊 Data Analysis: Processed and structured the data with pandas for insights.

• 🤖 Built machine learning models to predict the EPL winner based on team performance statistics.

• ⚽ Gained hands-on experience combining data collection, data analysis, and predictive modeling in a real-world football context.

Reference List

• Dataquest (EPL pt. 1)
• fbref.com
• Dataquest (EPL pt. 2)