Soccer Match Outcome Prediction
Overview An end-to-end machine learning pipeline that predicts soccer match outcomes with 72% accuracy using advanced feature engineering, ensemble methods, and hyperparameter optimization. Benchmarked 7 classifiers across 10 dataset variants with rigorous cross-validation. Problem Statement Traditional sports prediction relies on domain expertise and intuition. A systematic ML approach can leverage historical match data to identify patterns and predict outcomes, enabling data-driven insights for analysts and sports enthusiasts. Solution & Approach Engineered a comprehensive pipeline combining:...