Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unraveling Campus Placement Success Integrating Exploratory Insights with Predictive Machine Learning Models Subject The topic of the resource EDA; Machine Learning; Performance analysis; Placement Prediction; Students Description An account of the resource The dynamics of campus placements have garnered considerable attention in recent years, with educational institutions, students, and employers all keenly invested in understanding the factors that drive successful recruitment. This surge in interest stems from the potential implications for academic curricula, student preparation, and hiring strategies. In this study, we aimed to unravel the myriad factors that influence a student's placement success, drawing from a comprehensive dataset detailing a range of academic and demographic attributes. Our methodology combined thorough exploratory data analysis with advanced predictive modeling. The exploratory phase unveiled notable patterns, particularly highlighting the roles of gender, academic performance analysis, Degree and MBA specialization in placement outcomes. In the predictive modeling phase, the spotlight was on state-of-the-art machine learning models, with a particular emphasis on their capacity to forecast placement success. Notably, algorithms like Logistic Regression and Support Vector Machines not only confirmed the insights from our exploratory analysis but also showcased remarkable predictive prowess, with accuracy scores nearing perfection. These findings not only demonstrate the capabilities of machine learning in the academic and recruitment spheres but also emphasize the enduring importance of core academic achievements in influencing placement outcomes. As a prospective direction, future research might benefit from examining how placement trends evolve over time and integrating qualitative insights to provide a holistic view of the campus recruitment process. 2023 IEEE. Creator An entity primarily responsible for making the resource Amzad Basha M.S.; Kumar Raju R.P.; Oveis P.M.; Sarim M. Source A related resource from which the described resource is derived 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions, CSITSS 2023 - Proceedings Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CSITSS60515.2023.10334118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSITSS60515.2023.10334118</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181541640&amp;doi=10.1109%2FCSITSS60515.2023.10334118&amp;partnerID=40&amp;md5=d2587d9c688092518ae2c9978a2453a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181541640&amp;doi=10.1109%2fCSITSS60515.2023.10334118&amp;partnerID=40&amp;md5=d2587d9c688092518ae2c9978a2453a5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034314-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Amzad Basha M.S., Gitam School of Business, Gandhi Institute of Technology and Management (Deemed to Be University), Bengaluru, India; Kumar Raju R.P., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Oveis P.M., Gitam School of Business, Gandhi Institute of Technology and Management (Deemed to Be University), Bengaluru, India; Sarim M., Gitam School of Business, Gandhi Institute of Technology and Management (Deemed to Be University), Bengaluru, India