Course Recommendation Based on ML

Abstract

Course recommender is a recommender system in which courses are recommended to the users like how your friend might recommend you movie based on his/her experience; similarly, this system recommend courses (mostly students). It is just that in this we recommend based on user data which is in numerical format. Nowadays people are very keen to study more, apart from their chosen stream and they tend to search for other courses they might want to try, but as there are lots of choices in the courses or they may not have fixed domain they want to study, that is where our recommendation system in introduced. In this system, we use machine learning algorithm on sample dataset to recommend courses. Recommendations are based on user information like their academic scores and ratings of the courses given by other users. This system also tries to consider users’ cognitive ability, or you can say learning capability to further recommend further course. The proposed system is webbased UI considering user friendliness and ease of use.