Machine Learning-based Prediction and Possibility for University Admission Based on Student’s Profile

Abstract

The decision of which university to go to for postgraduate studies is quite challenging for students. Many mentors give guides for a fee. It does not help the majority of students. There are a lot of people who have been duped. Despite the fact that I have a similar difficulty while considering moving overseas for my higher education. Based on my profile, I look into a variety of institutions. However, based on my profile, I am unable to locate the ideal university. With the number of universities and subjects growing by the day, deciding which institution is ideal for a well-profiled student is becoming increasingly difficult. To address this issue, Given the student's profile I propose a machine learning-based method that compares various regression algorithms such as Artificial neural network, decision tree, Random Forest, linear regression. This paper compares and contrasts different models to determine which one is the most accurate.