Student Performance Prediction using Machine Learning

In this paper, a model is proposed to predict the performance of students in an academic organization. The algorithm employed is a machine learning technique called Neural Networks. Further, the importance of several different attributes, or "features" is considered, in order to determine which of these are correlated with student performance. Finally, the results of an experiment follow, showcasing the power of machine learning in such an application. Keywords— Artificial intelligence, machine learning, student performance, neural networks