UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 4 | April 2024

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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2204278


Registration ID:
321726

Page Number

c545-c553

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Title

H1B VISA APPROVAL USING MACHINE LEARNING ALGORITHM

Abstract

H1-B Visa is the maximum sought-after non-immigrant visa that lets in overseas employees to paintings in United States in uniqueness career. In 2019, greater than 1 million candidates implemented to get an H-1B visa together with new programs, renewals and switch of H1-B to every other company. There have been greater than 180,000 new candidates for H1-B, but, simplest 80,000 programs have been picked up withinside the lottery manner for taking it in addition to USCIS for approval. Uncertainty in obtaining an H1B visa creates uncertainty in employment and the criminal reputation of a lawsuit utility and excessive felony and visa processing chargesfor the business enterprise over the duration of employment. We plan to apply the anonymized dataset for 2019 that the United States Department of Labor publishes and publicly observes system control strategies to improve the predictability of this company's approval.

Key Words

Applications, immigrant, and non-immigrant, Random Forest Classifier.

Cite This Article

"H1B VISA APPROVAL USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.c545-c553, April-2022, Available :http://www.jetir.org/papers/JETIR2204278.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

"H1B VISA APPROVAL USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppc545-c553, April-2022, Available at : http://www.jetir.org/papers/JETIR2204278.pdf

Publication Details

Published Paper ID: JETIR2204278
Registration ID: 321726
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: c545-c553
Country: , , .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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