Anticipating Placement Status of Engineering Students using Machine Learning based Prediction Models - A Case Study of Computer Science Stream
Author:
Affiliation:
1. G.L. Bajaj Institute of Technology and Management,Department of MCA,Greater Noida,India
2. Lovely Professional University,Department of MCA,Phagwara,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099475/10099489/10100042.pdf?arnumber=10100042
Reference16 articles.
1. Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time
2. Classification model of prediction for placement of students;pal;International Journal of Modern Education and Computer Science,2013
3. A Comparative Study on Machine Learning Algorithms for Predicting the Placement Information of Under Graduate Students
4. Enhancing prediction of student success: Automated machine learning approach
5. Developing Classifiers through Machine Learning Algorithms for Student Placement Prediction Based on Academic Performance
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1. Employability Prediction using Facebook Prophet for Computer Science and Engineering Graduates;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15
2. Unraveling Campus Placement Success Integrating Exploratory Insights with Predictive Machine Learning Models;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02
3. Machine Learning Approach for Predicting the Placement Status of Students;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18
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