UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2404F80


Registration ID:
537667

Page Number

o568-o573

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Title

Campus Placement Prediction Using Machine Learning

Abstract

A campus placement prediction system is developed to calculate the possibility of a student getting jobs in a company through campus placements. The model takes many parameters which can be used to get an idea about the skill level of the student. While some data are taken from the college level like academic performance, CGPA, pointers, attendance etc others are obtained from tests conducted in the placement management system. Combining these data points, the model is to accurately predict if the student will or will not be placed in a company. Also, Data from past year students are used for training the model. We are using educational data mining by which we can get real past year's students data of that specific college. This will help the machine learning model to be more effective about the predictions of that particular college. The purpose behind this placement prediction system is to help students improve their results, academic performance and also develop another soft skill that will help them to maximize their chance of getting placed. Such a study will help the faculties of the college to train the students accordingly and improve the placement department of their institutions. This will give an idea about how students are doing and will ensure their institution can satisfy the needs of recruiters. For this supervised machine learning especially logistic regression is better, Logistic model designing plays a key role to get correct predictions. This process includes the selection of tuples for training data and their preknown outcome often known as real data.

Key Words

Data Mining, Campus Placement, Logistic Regression, EDM, Supervised Learning, Logistic Function, Machine Learning, Accuracy, Prediction.

Cite This Article

"Campus Placement Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o568-o573, April-2024, Available :http://www.jetir.org/papers/JETIR2404F80.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

"Campus Placement Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo568-o573, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F80.pdf

Publication Details

Published Paper ID: JETIR2404F80
Registration ID: 537667
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: o568-o573
Country: Mira Road, Thane, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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