Predicting Students’ Employability using Support Vector Machine: A SMOTE-Optimized Machine Learning System
Author:
Publisher
The World Academy of Research in Science and Engineering
Subject
General Engineering
Cited by 14 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. CVs Classification Using Neural Network Approaches Combined with BERT and Gensim: CVs of Moroccan Engineering Students;Data;2024-05-24
2. Uso de técnicas de aprendizado de máquina para predição do tempo de graduação dos discentes de Engenharia da Computação na região Sudeste do Brasil;Revista Brasileira de Computação Aplicada;2024-05-01
3. Unlocking the potential of LSTM for accurate salary prediction with MLE, Jeffreys prior, and advanced risk functions;PeerJ Computer Science;2024-02-22
4. XGBSO: An Employability Assessment Model;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26
5. Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0;Architecture and Technological Advancements of Education 4.0;2023-11-27
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