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.
