Online Student Performance Prediction Using Machine Learning Approach
| Main Authors: | Neena Somar, T J Jobin |
|---|---|
| Format: | Proceeding Journal |
| Terbitan: |
Amal Jyothi College of Engineering Kanjirappally, Kottayam
, 2022
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/6228486 |
Daftar Isi:
- Abstract: The paper is ready to predict scholars’ overall performance on online medium the use of gadget studying. The present-day scenario of covid brings about turning lessons into the online platform. Right here the paper is to predict scholar overall performance and analyze the numerous other factors affecting overall performance gadget mastering helps to expect student online class performance. based on the prediction either properly or bad for college kids can be determined out. This helps the government authority to take essential motions to improve their performance. right here we make use of various gadgets gaining knowledge of algorithms like regression models and correlation approaches.