Comparative Analysis of Regression and Neural Network Models on Students' Grades

Machine Learning(ML) is an important scientific area and applied science reality. It is being used by numerous industries, its use is vast and now it seems endless. In this paper we use ML methods to analyze students' grades for similar subjects, and trying to find the best model for prediction of targeted subject grade. The success of the model, or lack of it, can pinpoint to specific conclusions regarding other aspect of students performance and organization of the subject.