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Prediction of H1B Visa Using Machine Learning Algorithms | IEEE Conference Publication | IEEE Xplore

Prediction of H1B Visa Using Machine Learning Algorithms


Abstract:

The H1 B visa is the most demanded visa world-wide. The H1 B visa applications are very heavily varied across many fields i.e. job, job title, year of petition, accountab...Show More

Abstract:

The H1 B visa is the most demanded visa world-wide. The H1 B visa applications are very heavily varied across many fields i.e. job, job title, year of petition, accountable wages, city of work etc. The purpose of this research is to estimate the likelihood of visa approval on the basis of metadata provided. We shall consider all aspects by which the petition may be approved or otherwise, strictly working on the data provided in the application. The designed classifier in the after mentioned report serves a dual purpose of H1B applicants and hopeful employers to measure the probability of getting certified prior to and after applying the petition.
Date of Conference: 28-29 December 2018
Date Added to IEEE Xplore: 19 December 2019
ISBN Information:
Conference Location: Bhopal, India

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