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Call for Papers:Vol.12 Issue.1

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Title: :  Prediction of Student Performance Using Machine Learning Techniques
PaperId: :  15594
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-15594
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mahesh PanjwaniSSSUTMS, Sehore, (M.P.), India
Dr. Neeraj SharmaSSSUTMS, Sehore, (M.P.), India

Abstract

Computer Science and Engineering
Student success, Prediction, Machine learning, Supervised learning, Reinforcement learning
To comprehend the student succession rate student performance prediction becomes most essential. Education is the Power and by predicting performance in education by selecting appropriate parameters, we would be capable to work on the faintness of student at right time by using precise pedagogies and methodologies. To predict student performance various machine learning technology has been developed such as supervised, unsupervised and reinforcement learning. Machine learning allows us to learn and make precise prediction using past observations. In this paper, we present literature survey about the student success prediction using machine-learning techniques together with the advantages and disadvantages of various machine learning approach.

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IJARIIE Mahesh Panjwani, and Dr. Neeraj Sharma. "Prediction of Student Performance Using Machine Learning Techniques" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1726-1733
MLA Mahesh Panjwani, and Dr. Neeraj Sharma. "Prediction of Student Performance Using Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1726-1733.
APA Mahesh Panjwani, & Dr. Neeraj Sharma. (2021). Prediction of Student Performance Using Machine Learning Techniques. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1726-1733.
Chicago Mahesh Panjwani, and Dr. Neeraj Sharma. "Prediction of Student Performance Using Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1726-1733.
Oxford Mahesh Panjwani, and Dr. Neeraj Sharma. 'Prediction of Student Performance Using Machine Learning Techniques', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1726-1733. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Prediction_of_Student_Performance_Using_Machine_Learning_Techniques_ijariie15594.pdf (Accessed : ).
Harvard Mahesh Panjwani, and Dr. Neeraj Sharma. (2021) 'Prediction of Student Performance Using Machine Learning Techniques', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1726-1733IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Prediction_of_Student_Performance_Using_Machine_Learning_Techniques_ijariie15594.pdf (Accessed : )
IEEE Mahesh Panjwani, and Dr. Neeraj Sharma, "Prediction of Student Performance Using Machine Learning Techniques," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1726-1733, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Prediction_of_Student_Performance_Using_Machine_Learning_Techniques_ijariie15594.pdf [Accessed : ].
Turabian Mahesh Panjwani, and Dr. Neeraj Sharma. "Prediction of Student Performance Using Machine Learning Techniques." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 ().
Vancouver Mahesh Panjwani, and Dr. Neeraj Sharma. Prediction of Student Performance Using Machine Learning Techniques. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(2) : 1726-1733. Available from: https://ijariie.com/AdminUploadPdf/Prediction_of_Student_Performance_Using_Machine_Learning_Techniques_ijariie15594.pdf
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