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This coursework explores predictive academic risk classification using a technology-driven approach. It outlines the background, problem limitations, proposed solutions, and benefits to stakeholders. Key sections include research methodology, feature engineering, model training, system design, and performance evaluation. The use of predictive analytics incorporates data preprocessing, algorithm comparisons, and system design for robust implementation. Evaluation metrics and results provide...