STUDENTS PLACEMENT PREDICTION USING MACHINE LEARNING ALGORITHMS

Abstract

Placements include limitless importance for college students and academic organizations. It helps a student to assemble a robust basis for the expert profession beforehand in addition to a virtuous placement file affords an aggressive side to a school or college inside the schooling arcade. Machine learning is a way of statistical evaluation that automates analytical version construction. This paper makes a specialty of a machine that forecasts if a pupil might be located or now no longer primarily based totally on the pupils qualifications, ancient statistics, and experience. This forecaster makes use of three machine learning algorithms, namely, Decision Tree, Nae Bayes, and Random Forest to expect pupils placement after which evaluation of those algorithms are performed on the idea of accuracy achieved.