Analysis of Machine Learning techniques for Predicting Student Success in an Educational Institution

Abstract

The student success is one of the essential components to assess the quality of the educational institutions. Monitoring student performance is of no use unless or otherwise it is done from the early stage. This research work will definitely consider two factors in mind about student success, firstly, Academic success. Secondly, Placement success. The goal of the proposed system is to predict the student's success using machine learning techniques and give feedback to the educational institutions. In this work , discussion of factors which affect the prediction, finding out the data sources and discussion about the various techniques used in prediction have been done.