B. A. Onyekwelu

Machine Learning-Based Model for Bridging Educational Gaps and Enhancing Student Engagement

XGBoost shows a great possibility for identifying students who may drop out, allowing educators to intervene in time, and is recommended that this predictive tool be incorporated into school programmes, in compliance with ethical rules for data privacy.