Comprehensive Research Overview Presentation

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This study explores the integration of Machine Learning (ML) in education, focusing on grade 11 STEM students. It examines the performance of Multiple Linear Regression (MLR) and Random Forest (RF) models in predicting outcomes, offering insights into key factors influencing student success. The research aims to address local challenges in the Philippine context, contribute to educational predictive models, and align with global Sustainable Development Goals. Designed as a quantitative,...