UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1906K46


Registration ID:
216606

Page Number

403-405

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Title

Career Prediction using Support Vector Machine Algorithm

Abstract

Career is one of the important decisions of our life. We all face great challenges in choosing a right career path considering the impact of a right career in our life. It is also essential to select a career based on our best abilities in order to achieve success and contentment. Many systems have been developed over the past years to help students select right career paths by predicting the best career option based on his/her academic factors. Academic factors however is not the only suitable factor, we also need to consider one’s cognitive abilities and psychometric factors like speed, learning ability, patience and memory to provide best career results. Therefore, this paper focuses on a system that considers both academic as well as psychometric factors to predict one’s career.

Key Words

Career, prediction, classification, ML algorithms, SVM.

Cite This Article

"Career Prediction using Support Vector Machine Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.403-405, June 2019, Available :http://www.jetir.org/papers/JETIR1906K46.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Career Prediction using Support Vector Machine Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp403-405, June 2019, Available at : http://www.jetir.org/papers/JETIR1906K46.pdf

Publication Details

Published Paper ID: JETIR1906K46
Registration ID: 216606
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 403-405
Country: Palghar, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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