Paper Details

In recent years, the availability of online learning platforms has grown exponentially, offering students an extensive range of courses to choose from. However, this abundance of options often poses a challenge for students in deciding which courses are the most suitable for meeting their educational goals and interests. Course recommendation systems aims to address this issue by leveraging data-driven techniques to provide personalized course recommendations. This study focuses on various machine learning algorithms which are used for designing course recommendation systems. Course Recommendation system is an personalized tool to assisting students for selecting most suitable courses based on their interest, individual preferences and career goal. Course recommendation systems have emerged as valuable tools to assist students in making informed decisions by leveraging data-driven techniques.

Content Based Method, Machine Learning, National Education Policy, Recommendation system, Supervised Learning