Main Article Content
Abstract
Education makes individuals to create new things, think about some new ideas and build innovated projects. It additionally improves people’s capacities to handle difficulties. Higher educational institutes are centred around improving the general execution of education management in an organisation. In this paper, we talked about Educational Data Mining, its Application Areas, techniques, and variables influencing the presentation of learning process. This paper tries to look at the exhibition of different characterization and classification calculations that are applied to a similar scholarly dataset. Such calculations are utilized by Educational Data Mining (EDM) that break down instructive measurements and distinguish patterns and figures in information which clarify the achievement of students.