UGC Approved Journal no 63975(19)

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

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2005453


Registration ID:
233396

Page Number

1011-1015

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Title

STUDENT PLACEMENT CHANCE PREDICTION

Abstract

All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student has chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and deep learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents an approach for using deep learning algorithm to make a placement prediction model for pre-final year engineering graduate students.

Key Words

STUDENT PLACEMENT CHANCE PREDICTION

Cite This Article

"STUDENT PLACEMENT CHANCE PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.1011-1015, May 2020, Available :http://www.jetir.org/papers/JETIR2005453.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

"STUDENT PLACEMENT CHANCE PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp1011-1015, May 2020, Available at : http://www.jetir.org/papers/JETIR2005453.pdf

Publication Details

Published Paper ID: JETIR2005453
Registration ID: 233396
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 1011-1015
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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