PREDICTING THE STUDENTS GPA USING MACHINE LEARNING TECHNIQUES

Authors

  • Ms.T.Jayapratha Priya Mahalakshmi S Rani Isvarya N Shameli K Vijatha S

Keywords:

Bunch of self-administrative - grade point normal – GPA - self administrative practices - learning in higher education - characterizing essential mediations.

Abstract

---- Analysing degree marks have been a significant area of examination in schooling because of the longing to recognize the basic factors that impact scholarly execution. In light of restricted achievement in foreseeing the grade point normal (GPA), a large portion of the earlier examination has zeroed in on anticipating grades in a particular arrangement of classes in view of understudies' earlier exhibitions. The issues related with information driven models of GPA forecast are additionally intensified by a little example size and a moderately enormous dimensionality of perceptions in a trial. In this paper, we use the cutting-edge AI procedures to build and approve a prescient model of GPA exclusively founded on a bunch of self-administrative not entirely settled in a moderately little example analyze.It examines instructive ramifications of arising innovations on the manner in which understudies learn and foundations educate and advance. Late innovative progressions and the speeding up taking on new advancements in advanced education are investigated to anticipate the future idea of advanced education in this present reality where man-made consciousness is important for the texture of our colleges.

Published

2022-06-29

How to Cite

Ms.T.Jayapratha Priya Mahalakshmi S Rani Isvarya N Shameli K Vijatha S. (2022). PREDICTING THE STUDENTS GPA USING MACHINE LEARNING TECHNIQUES. International Journal of Advanced Engineering Science and Information Technology, 10(6), 7–14. Retrieved from http://ijaesit.com/index.php/home/article/view/84