Fourth Year (2023/2024) Learning Analytics Module - 82%, 78% average
Creating three regression ML models to predict student performance. Including data cleaning and preparation, initial dataset analysis, model evaluation and dataset suitability analysis. The ML models trained and assessed include polynomial regression, ridge regression and elastic net regression which predict different student grade outcomes.
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