z-logo
open-access-imgOpen Access
Predicting the eligibility of placement for students using data mining
Author(s) -
P. Manimaran,
G Priyadharshini,
N Yamuna Devi
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns8.9723
Subject(s) - computer science , random forest , variety (cybernetics) , logistic regression , set (abstract data type) , institution , machine learning , support vector machine , data set , academic institution , data science , artificial intelligence , data mining , political science , law , programming language , library science

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here