International Journal of Engineering Technology and Management Sciences

2023, Volume 7 Issue 3

METHODOLOGY FOR IMPLEMENTATION OF PREDICTION MODEL FOR STUDENTS USING MACHINE LEARNING

AUTHOR(S)

PREETHAM S, M C CHANDRASHEKHAR, M Z KURIAN

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.116

ABSTRACT
In this era, with the continuing growth in electronic devices and internet technologies, there has been a vast rise in data storage. The word data is explaining each detail that has been interpret into a form that is further convenient to move or process. In this project machine learning data have performed. However, machine learning technology brings a vast benefit which provides a computer the potential to learn without programming it. One of the applications of machine learning is E-learning. E-learning makes many things possible especially for learners to learn anytime and anywhere as well as in online on their own. Customization on E-learnings has two steps- first part of the customization is forecasting the elegance and the second is suggesting the counsel of course selection depending upon the performance. Here the challenges in E-learning to tackle and discuss the customization classification which is the grade prediction.

Page No: 764 - 766

References:

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    [2] M. Injadat, A. Moubayed, A. B. Nassif, and A. Shami, ‘‘Multi-split optimized bagging ensemble model selection for multi-class educational data mining,’’ Int. J. Speech Technol., vol. 50, no. 12, pp. 4506–4528, Dec. 2020.


How to Cite This Article:
PREETHAM S, M C CHANDRASHEKHAR, M Z KURIAN .METHODOLOGY FOR IMPLEMENTATION OF PREDICTION MODEL FOR STUDENTS USING MACHINE LEARNING . ijetms;7(3):764-766. DOI: 10.46647/ijetms.2023.v07i03.116