DS Project: Predicting H1B visa approval using Sequential Model

In this DS project, we use a sequential model to predict the approval of H1B visas based on various parameters such as job title, salary, location, etc. The model is trained on a dataset of past H1B visa applications and their outcomes. Our approach allows us to identify the key factors that influence the visa approval process, providing valuable insights for employers and applicants alike. Additionally, we compare our model to other commonly used machine learning algorithms to assess its accuracy and effectiveness. Join us as we explore the world of data science and H1B visa applications!