Abstract:
The research paper focuses on revolutionizing student placement predictions in educational institutions through the integration of machine learning and data visualization...Show MoreMetadata
Abstract:
The research paper focuses on revolutionizing student placement predictions in educational institutions through the integration of machine learning and data visualization techniques. Acknowledging the pivotal role of placements in shaping a college's reputation, the study proposes a comprehensive approach to enhance student preparedness and optimize placement outcomes. The paper introduces a unified platform leveraging exploratory data analysis (EDA) and machine learning models, such as Linear Regression (LR), to provide real-time insights into students' placement readiness. Notably, the research addresses the shortcomings of existing systems by emphasizing the need for a consolidated platform that not only predicts placements but also guides students through their preparation journey.
Date of Conference: 05-07 April 2024
Date Added to IEEE Xplore: 10 June 2024
ISBN Information: