University Admission Prediction using Machine Learning

In the present schooling world there are numerous quantities of understudies who need to seek after Higher training in the wake of Engineering or any Graduate certification course. Advanced education in the sense, a few groups need to do MTech through GATE or through any Educational Institute Entrance Examination and a few groups need to do MBA through CAT or through any individual Educational Institute Entrance Examination and a few groups need to do Masters in abroad colleges. Understudy confirmation issue is vital in Educational Institutions. We are addressing AI models to anticipate the opportunity of an understudy to be conceded to a Master's program. This will help understudies to know ahead of time in the event that they get an opportunity to get acknowledged. The Machine learning models are Linear relapse, Decision tree regressor and Random Forest regressor. Investigations show that the Linear Regression model outperforms different models.

Author(s): Kruthika CS, Apeksha B, Chinmaya GR, Madhumathi JB, Veena MR

Abstract | Full-Text | PDF

Share This Article