Student Placement Probability Prediction

ISBN-13: 9786205490617 / Angielski / Miękka / 72 str.

Choudari Lakshmi; Suneetha Merugula; A Sravani

Opis

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.

O autorze

Choudari Lakshmi, currently working as Assistant Professor in the department of CSE, GITAM School of Technology, Visakhapatnam. She has 4 years of teaching and 3 years of industrial experience. She is expertise in Machine Learning, Problem Solving, and Programming.Dr.M.Suneetha and A.Sravani are also currently working in the department of CSE,GST