A Review on Placement Prediction and Analysis Using Machine Learning

The rate at which the students are placed in jobs are considered an essential aspect of measuring the efficacy of a particular institution in imparting proper training to its students, which leads to placement in jobs. Many a learner takes due interest in studying the placement rate when deciding which institution to choose as a place to educate themselves at the collegiate level in colleges or universities. Enhancing the placement opportunities of the students in jobs is considered a major goal of almost all academic institutions, and this review paper is a study dedicated to laying a foundation in the aspect of campus placement prediction using machine learning as a predictive tool. By delving into the subject of machine learning as a predictive tool, this paper serves as a directional path that stimulates future research after pointing out the existing shortcomes in this type of prediction in raising awareness in a basic way regarding the accuracy of the efficiency of a machine learning-based campus placement prediction system.