Skip to content

This work aims to develop student's academic performance prediction model, for the Bachelor's degree students in Computer Science using the classification method; Decision Tree Algorithm. Parameters like semester marks, attendance marks, score obtained from the 10th and 12th examinations, study time, and other aspects were selected to conduct th…

Notifications You must be signed in to change notification settings

ei-adnan/Student-Performance-Predictor

Repository files navigation

Student-Marks-Predictor

About

This work aims to develop student's academic performance prediction model, for the Bachelor's degree students in Computer Science using the classification method; Decision Tree Algorithm. Parameters like semester marks, attendance marks, score obtained from the 10th and 12th examinations, study time, and other aspects were selected to conduct th…

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published