Future forecasting of the number of cases of COVID-19 using Machine Learning in Python

By Romita Kundu

The Main aim of the project is to predict of the number of cases of COVID-19 of upcoming days using Machine Learning Algorithms in Python.

The main aim of this project is to predict the number of confirmed cases worldwide and to visualize the ongoing COVID-19 pandemic of upcoming days by using machine learning algorithm in python . Importation of the data is done on a daily basis. By Using of support vector machine, bayesian ridge , and linear regression model for predicting the number of confirmed cases in future days is done in this project . After that Graphing the number of confirmed cases, active cases, deaths, recoveries, mortality rate (CFR), and recovery rate worldwide are done. This project can predict the number of comfirmed cases upto 10 upcoming days by using machine learning algorithms in python.