Developing a predictive model for engineering graduates placement using a data-driven machine learning approach

This study presents a novel predictive model for engineering graduates' placement outcomes using Machine Learning (ML) techniques. The model is built on a comprehensive dataset that includes students' performance in various skill areas and their subsequent placement status. By employing a range of M...

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Bibliographic Details

Main Authors:	Md Jakir Hossain Molla, Sk Md Obaidullah, Soumya Sen, Gerhard-Wilhelm Weber, Chiranjibe Jana
Format:	Artigo
Language:	Inglês
Published:	Ayandegan Institute of Higher Education, Iran 2024-12-01
Series:	Journal of Applied Research on Industrial Engineering
Subjects:	engineering graduates, employability placement outcomes, data-driven approach, predictive analytics, machine learning
Online Access:	https://www.journal-aprie.com/article_206619_86c3a745908687bdf92a877fa71ac767.pdf
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