Student Placement Probability Prediction: Using Machine Learning - Couverture souple

Lakshmi, Choudari; Merugula, Suneetha; Sravani, A

Couverture souple

ISBN 10 : 6205490617 ISBN 13 : 9786205490617

Editeur : LAP LAMBERT Academic Publishing, 2022

Synopsis

Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions. Now a days students placements plays vital role in academic establishments. Admission and name of establishments primarily depends on placements. The students’ employability is a major concern for the institutions offering higher education and a method for early prediction of employability of the students is always desirable to take timely action. The main aim of our project is to analyze previous year’s student’s historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. In our project we are going to predict the chance of the student to select in a particular company based upon the previously placed students. The whole process includes classification and regression algorithms in machine learning.Our main goal is to predict the student placement status using machine learning techniques.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 6205490617
• ISBN 13: 9786205490617
• Reliure: Broché
• Nombre de pages: 72
• Coordonnées du fabricant: non disponible
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