Machine Learning Models for Performance of Students in Foundation and Post Foundation in a University in Oman

Due to the extensive availability of data in education, it is now common practice to analyze data in order to uncover patterns and important knowledge. They can be applied to develop strategies and policy aimed at enhancing educational outcomes. The importance of a data science and machine learning research technique is growing in the field of education, particularly when it comes to predicting results. In this study, a machine learning model called multiple linear regression is employed to forecast the academic performance of the students. Using multiple linear regression techniques, a case study of foundation and post-foundation students’performance in various math courses is provided. so that we can identify the students who are less capable and take the appropriate steps to enhance the outcomes. Also try to find out different performance criteria.