| Autor: |
Ashokkumar, K., Diviyash, R., Dineshwaran, B., Reddy, Venna Sai Teja |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3075 Issue 1, p1-7, 7p |
| Abstrakt: |
The main resource of different universities is their students. Universities and students both contribute significantly to the production of highly qualified graduates through their achievements in the classroom. Academic performance refers to a student's attainment of their educational objective and can be evaluated and tested through exams, assessments, and other measurement tools. However, because pupils may have varying levels of performance achievement, academic performance attainment varies. In this project, we create a student database using machine learning models and analyse their performances. We use the datasets of other groups and perform data visualization for the whole dataset. The input is the students' dataset, and the output is the graphs and accuracy level analysing the academic performances. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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