Client Work (Final Year Dissertation) | CDT6200 Machine Learning Football Prediction | BCU UK

Student | Client Work ( Dissertation) |CDT6200 Football Match Prediction Using ML | Birmingham City University

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🚀 Video Details:
🎓This video presents the Final Year Dissertation Project (CDT6200-1920) in BSc (Hons) Computer Data Science at Birmingham City University (Birmingham, UK).
The dissertation explores Machine Learning for Football Match Prediction, focusing on predicting English Premier League (EPL) results using real-world match data from 2010 to 2021.

🔍 Project Highlights

• Dataset: EPL dataset (4,070 matches, 113 features from Kaggle)
• Algorithms Used: K-Nearest Neighbor (KNN), Gaussian Naive Bayes (GNB), Decision Tree (DT)
• Techniques: Data preprocessing, feature selection (Recursive Feature Elimination), scaling (MinMaxScaler & StandardScaler), hyperparameter tuning
• Results: Gaussian Naive Bayes achieved the highest accuracy (59.31%), followed by Decision Tree and KNN
• Key Contribution: Demonstrates how machine learning models can be applied in football analytics to support betting, coaching, and fan engagemen

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Course Code: CDT6200-1920
Module: Final Year Dissertation (Dark Blue)
University: Birmingham City University, UK
Category: Machine Learning | Data Science | Sports Analytics | Dissertation Showcase

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