Forecasting Futures: Predicting University Admissions with Machine Learning

Abstract

The process of university admissions is inherently complex, often relying on various factors such as academic records, standardized test scores, extracurricular activities, recommendation letters, and personal statements. In recent years, machine learning (ML) techniques have shown promising results in predicting admission outcomes, aiding both prospective students and admissions committees in decision-making processes. Keywords: University admission, Machine learning, Predictive modelling, Classification, Regression, Data pre-processing.