Analysis of Student Performance and Requirement Using Data Science

Performance assessment of learning population is necessary to inspect the feasibility of progress in a student. Routine evaluation at regular intervals not merely develops the overall performance of the student as well as aids in considering and observing in what things and where the student is actually lacking. It absorbs a heap of physical work and efforts to accomplish the assessment procedure as each institute may contain more than thousands of students. This paper projects a computerized way out for student development and progress evaluation by depending upon machine education. A threshold-based segmentation is applied for the thorough evaluation process over MATLAB mockup tool. The execution of machine education is considered and appraised by the precision as well as the mean square error. The most important development criteria of a country are determined by the Education system of that nation. To the proper development of the country proper analysis of student performance and requirement is important. Nowadays classroom study is considered as a very narrow path to judge a education system it is evaluated beyond that like Online Education System, So the success of an education system relies on having a well-defined as well as maintained evaluation structure.