TY  - JOUR
TI  - A Machine Learning Approach for Predicting Student Performance
AU  - C. Selvi
AU  -  R. Shalini
AU  -  V. Navaneethan
AU  -  L. Santhiya
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2019/04/30
PY  - 2019
DO  - https://doi.org/10.32628/CSEIT1952106
UR  - https://ijsrcseit.com/CSEIT1952106
VL  - 5
IS  - 2
SP  - 462	
EP  - 465
AB  - An University’s reputation and its standard are weighted by its students performance and their part in the future economic prosperity of the nation, hence a novel method of predicting the student’s upcoming academic performance is really essential to provide a pre-requisite information upon their performances. A machine learning model can be developed to predict the student’s upcoming scores or their entire performance depending upon their previous academic performances.