INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Prediction of a Employment for a Graduate based on Academic Performance using Logistic Regression - An Machine Learning Approach
Authors Name:
GURUSIDDAPPA HUGAR
Unique Id:
IJSDR2304047
Published In:
Volume 8 Issue 4, April-2023
Abstract:
There are several areas in which organizations can adopt technologies that will support decision-making: Machine Learning is one of the most innovative research area that consists of different algorithms and are widely used to develop different applications such as medical diagnosis and healthcare, image and speech recognition, business strategies, organizational aspects and people management. In this research work, Logistic Regression is used to predict the employment chances by the Institute. The student age, overall percentage and number of project done during academic years are considered as objective factors to the work. The main goal of this research work is to analyse how objective factors influence the people while choosing the best Institution. The obtained model for the prediction of Employment, which is trained with the help of data-set collected from our Institution and nearby Institutions.
Keywords:
Machine Learning, Prediction, Performance
Cite Article:
"Prediction of a Employment for a Graduate based on Academic Performance using Logistic Regression - An Machine Learning Approach", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.243 - 248, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304047.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR2304047
Registration ID:205052
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10076022
Page No: 243 - 248
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn