Student's Performance Analysis with EDA and Machine Learning Models

Abstract

Educational data analytics is used to study the data which is available in the educational institutions and bring out the insights from it. Analytics is a process of discovering, analyzing, and interpreting meaningful patterns from large amounts of data. Predictive analytics can help in improving the quality of education by providing right information for decision makers to take better decisions. This paper focuses on the need for implementing the data analytics in educational system, suggests some strategies to use these needs. While implementing any system, the understanding of different components and their functions is necessary. The educational data analytics has potential to discover, analyze and predict meaningful knowledge from educational data which will help to education management system for flexible planning, execution and prediction for future.