Vaccination Progress Prediction in the U.S., India, and Brazil by Machine learning models

A worldwide pandemic began after a novel coronavirus SARS-CoV-2, also known as COVID-19, was identified in 2019. Until September 2021, COVID-19 caused 254 million cases and 5.11 million deaths. Fortunately, countries worldwide are actively creating and inventing vaccinations against the virus to prevent new infections and stop the spread. However, due to various reasons like commuting issues, limitation of medical technology, uncooperative individuals, etc., the amount of vaccinations is one of the problems for governmental organizations to solve. This essay uses machine learning methods to analyze vaccination progress, and the situation of COVID-19 spread over two years to predict the future vaccination amount. As a result, models that predict future vaccination in the U.S., India, and Brazil are generated.