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A five-model early-warning student performance prediction pipeline built using Scikit-Learn (Logistic Regression, Decision Tree, SVM, Random Forest, and Regularized Ensembles) with TF-IDF text feature extraction. Implements leakage-proof ColumnTransformers and customized class weights to mitigate academic indicator imbalances.
A five-model early-warning student performance prediction pipeline built using Scikit-Learn (Logistic Regression, Decision Tree, SVM, Random Forest, and Regularized Ensembles) with TF-IDF text feature extraction. Implements leakage-proof ColumnTransformers and customized class weights to mitigate academic indicator imbalances.