Authors : CH. Kiran Babu; R.Teja Murali; M.Neeha; M. Vishnu Satwik

Volume/Issue : Volume 8 - 2023, Issue 7 - July

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/36eecyhm

DOI : https://doi.org/10.5281/zenodo.8363474

Abstract : Our wage prediction system is aimed toward providing higher help to the college students relating to the wage that they'll side once finishing their course. Not solely they're goingto be able to get a plan of their meriting wage however additionally,they'll get to grasp about the abilities that they need to satisfy their skilled goals. this could enhance the motivation of scholars United Nations agency are listed in education institutes and provide higher help additionally. Through this paper we've got tried to produce a system for wage prediction throughout that processing technique is used. throughout this technique, the profile of student goes to be compared with graduated student. we've got used data processing techniques for comparison. they perform best. We have additionally performed associate degree experiment on student information set victimization 10-fold cross- validation. Machine learning may be a technology that permits a computer code program to became a lot of correct at simulation more correct results while not being expressly programmed and additionally milliliter algorithms uses historic data to predicts the new outputs. due to this milliliter gets adistinguish attention.

Keywords : Salary prediction, Machine Learning, Ensemble methods, Support Vector Machine, K-Nearest Neighbor, Naïve Bayes, Random Forest Algorithm.