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System for Predicting and Recommending Placement on Campus

Payal Bhandwalkar, Manasi Chikhalkar, Sakshi Korgaonkar, Anagha Shete, Charusheela Pandit

Abstract


The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters that can be used to assess the student’s ability level. The predictor successfully predicts whether or not the student will be placed in a business using these data points. The predictor is trained using information from previous pupils.

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References


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