Client Work (Dissertation)CDT6200-1920 Machine Learning for Football Match Prediction | BCU Project

Student | Client Work (Dissertation) |CDT6200-1920 Final Year Project- Football Match Prediction | Birmingham City University

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This project demonstrates how machine learning can be applied to predict English Premier League (EPL) match results using real-world data and classification algorithms.
Submitted as a Final Year Project for the BSc (Hons) Computer Data Science program at BCU, this dissertation leverages Gaussian Naive Bayes, K-Nearest Neighbors, and Decision Trees to build predictive models based on match statistics.

📊 Key components covered:
✅ Dataset cleaning & feature selection
✅ Recursive Feature Elimination (RFE)
✅ Final comparison of ML models
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