Analysis and Prediction on COVID‐19 Using Machine Learning Techniques

Abstract

This paper presents an analysis and prediction of COVID-19 data using machine learning techniques. The present work discusses different machine learning techniques namely linear regression, logistic regression, random forest, and decision tree. The outbreak COVID-19 has attracted the attention of all researchers only on the corona virus. To focus on COVID-19, the present study attempts to analyze COVID-19 data using all machine learning techniques. The work also introduced a decision-making process for further prediction. The techniques are compared with respect to accuracy of prediction. © 2021 Scrivener Publishing LLC.