Project 3: EPL Win Predictor ⚽

  • Designed a model that predicts the chances of winning a football ⚽ match for your favourite premiere league team.

  • Dataset - Scraped and fetched data from the resources provided in the GitHub Repository. The Dataset contains some important statistics for the last 12 seasons of the English Premier League.

  • Model - The major aim in this project is to build a predictor that predicts the chances of winning a game based on the previous statistical data by using classification algorithms and techniques such as the Naive Bayes Classifier , RandomForest and Decision Tree Classifier , Logistic Regression Classifier and Support Vector Machine Classifier.

Correlation Visualization of the attributes in the dataset

The Confusion Matrix of the GaussianNB Classifier

Please Check out my Github Repository for all the details: Link to Github Repository