An Intelligent Data-Driven Framework for Student Placement Prediction Using Machine Learning

Key Points

• The research aims to develop a framework for predicting student placements using machine learning techniques.
• Developed a data-driven model for predicting student placements.
• Utilized various machine learning algorithms to enhance prediction accuracy.
• Assessed the impact of different teaching programs on waste management knowledge.
• Demonstrated that machine learning significantly improves placement prediction accuracy.
• Identified key factors influencing student success and placement outcomes.

Abstract