UGC Approved Journal no 63975(19)

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

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDZ06080


Registration ID:
233613

Page Number

620-626

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Title

Analysing Factors for Students Performance Using Machine Learning

Abstract

Student’s performance is one of the major academic outcome in teaching and learning process. There are various factor which can affect the students’ performance such as socio-economic background, medium of instruction, habits etc. to name a few. This study presents the most prominent factor in students’ academic success by applying machine learning approaches.

Key Words

Student Performance, Learning Analytics

Cite This Article

"Analysing Factors for Students Performance Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.620-626, December 2018, Available :http://www.jetir.org/papers/JETIRDZ06080.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

"Analysing Factors for Students Performance Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp620-626, December 2018, Available at : http://www.jetir.org/papers/JETIRDZ06080.pdf

Publication Details

Published Paper ID: JETIRDZ06080
Registration ID: 233613
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 620-626
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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