Prediction of Student Performance using Machine Learning
Anusha M1, K Karthik2, P Padmini Rani3, VSrikanth4
1Anusha M, Department of CSE, KLEF, Green Fields, Vaddeswaram,Guntur dt, Ap, India.
2K Karthik, Department of CSE, KLEF, Green Fields, Vaddeswaram,Guntur dt, Ap, India.
3P Padmini Rani, Department of CSE, KLEF, Green Fields, Vaddeswaram, Guntur dt, Ap, India.
4V Srikanth, Department of CSE, KLEF, Green Fields, Vaddeswaram, Guntur dt, Ap, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 247-255 | Volume-8 Issue-6, August 2019. | Retrieval Number: E7520068519/2019©BEIESP | DOI: 10.35940/ijeat.E7520.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Educational foundations are delivering capable and shrewd understudies and specialists, yet when we think about quality and value of the student’s advancement in his profession; it is as yet a challenge or an inquiry. These organizations center on quality in training. Consistently countless alumni from schools and colleges, as for the information gathered from the criticism of students, order an information mining strategy is connected to it. It is a stage to examine the elements influencing the performance of students so as to assess the present understudy execution and make proficient strides in the expectation of the no doubt happening connections between the different parts of learning and to upgrade the nature of instruction in future and help the educational organizers to design in like manner.
Keywords: Machine Learning, Prediction, performance