H1B Visa Status Prediction

Machine Learning • Data Science

In recent times, H1B visas have become the most demanded visa. It is a visa that is filed for highly skilled foreign nationals every year. The allocation of these visas is said to be a lottery method which does not rely on any criteria.

The H1B visa application process depends on factors like salary, work location, full-time employment etc. In this project, we are given data based on applications from 2011–2016. Baseline models were Naïve Bayes, Random Forest, and XGBoost. Aim is to outperform these with deep models (Neural Networks/CNN).