1 publication

• Published Subscription 18 Jul 2023

  System for Predicting and Recommending Placement on Campus

  By 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 …

  Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article →