
Application of Machine Learning Techniques to Evaluate the Performance of Students in an Academic Environment
Author(s) -
D. A Chandana,
Subramaniam Meenakshi Sundaram,
S Bhumika,
B. N Meghana
Publication year - 2022
Publication title -
saudi journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2415-6272
pISSN - 2415-6264
DOI - 10.36348/sjet.2022.v07i06.008
Subject(s) - attendance , task (project management) , aptitude , improvisation , process (computing) , computer science , mathematics education , association (psychology) , psychology , medical education , engineering , medicine , art , developmental psychology , systems engineering , economics , visual arts , psychotherapist , economic growth , operating system