Predicting the percentage of student placement: A comparative study of machine learning algorithms

Author:

Çakıt ErmanORCID,Dağdeviren Metin

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning Approach for Predicting the Placement Status of Students;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

2. Placement Prediction System using Machine Learning;2023 2nd International Conference on Edge Computing and Applications (ICECAA);2023-07-19

3. Anticipating Placement Status of Engineering Students using Machine Learning based Prediction Models - A Case Study of Computer Science Stream;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA);2023-03-14

4. Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2023

5. Improved Lion Optimization based Enhanced Computation Analysis and Prediction Strategy for Dropout and Placement Performance Using Big Data;International Journal of Integrated Engineering;2022-12-31

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