EPL MATCH PREDICTION

Implemented a machine learning model to predict the winners of football matches using data scraped from fbref.com. The project involved the following steps:

Data Collection:

Utilized Python's BeautifulSoup library for web scraping fbref.com to gather match statistics and team performance data.

Data Cleaning:

Cleaned and preprocessed the collected data to ensure consistency and accuracy for further analysis.

Feature Engineering:

Engineered relevant features from the collected data to enhance model performance.

Model Development:

Developed a machine learning model using Python's pandas and scikit-learn libraries to predict match outcomes based on historical data.