Advancing Educational Outcomes Through Predictive Analytics and Machine Learning

Abstract

The integration of predictive analytics and machine learning in education represents a transformative shiftfrom reactive assessment to proactive student support. This article examines how educational institutionsleverage diverse machine learning methodologies, including binary classification models, sequential neural networks, unsupervised learning techniques