Student placement analyzer: A recommendation system using machine learning

摘要: One of the biggest challenges that higher learning institutions face today is to improve placement performance students. The prediction more complex when complexity educational entities increase. Educational institutes look for efficient technology assist better management and support decision making procedures or them set new strategies. effective ways address improving quality provide knowledge related processes managerial system. With machine techniques can be extracted from operational historical data resides within organization's databases using. dataset system implementation contains information about past These are used training model rule identification testing classification. This paper presents a recommendation predicts students have one five statuses, viz., Dream Company, Core Mass Recruiters, Not Eligible Interested in Placements. helps cell an organization identify prospective pay attention their technical as well interpersonal skills. Furthermore, pre-final final years B. Tech course also use this know individual status they most likely achieve. put hardwork getting placed companies belong hierarchies.