Prediction of COVID-19 using Machine Learning Algorithms in Python

By Romita Kundu

The aim of the project is to visualize and predict the ongoing COVID-19 pandemic by using machine learning algorithms such as support vector machine, polynomial regression in Python.

This is a project by which the coronavirus cases are explored worldwide. The main aim of this project is to predict the number of confirmed cases worldwide and to visualize the ongoing COVID-19 pandemic by using machine learning algorithm in Python. Importation of the data is done on a daily basis. Use of support vector machine, bayesian ridge, and linear regression model for predicting the of confirmed cases is done in this project. Here after that Graphing the number of confirmed cases, active cases, deaths, recoveries, mortality rate (CFR), and recovery rate worldwide are done. This gives us a big picture of the ongoing covid-19 pandemic.