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Campus Placement Predictive Analysis using Machine Learning

Each student dreams of having a work offer in their hands before leaving college. A selection probability indicator lets students get an sense of where they’re standing and what to do to ensure a decent selection. A placement predictor is a device that can forecast the probability or form of business that a student in the pre-final year has chances of placing. While a forecasting program could help in the academic preparation of an institution for future years. With the emergence of data mining and machine learning, through analyzing the data set of the previous student year, numerous predictive models were applied. This paper introduces a literature study for pre-final year engineering graduate students on different statistical selection models.