A Recommender System for Predicting Students' Admission to a Graduate Program using Machine Learning Algorithms

<p>In the 21st century, University educations are becoming a key pillar of social and economic life. It plays major role not only in educational process but also ensuring two important things which prosperous career financial security. However, predicting university admission can be especially difficult because students aware requirements. For that reason, main purpose this research work is to provide recommender system for early based on four Machine Learning algorithms namely Linear Regression, Decision Tree, Support Vector Random Forest Regression. The experimental results showed Regression most suitable algorithm admission. Also, Cumulative Grade Point Average (CGPA) parameter influences chance admission.</p>