Analysis of Covid-19 Data using Machine Learning Algorithms

Covid-19 cases reported on Jan, 30, 2020 and the numeral of cases stated increased deeply from March, 1, 2020. The researcher analysis the affected state of India (checking to only those state with sufficient data for forecast) and analysis those state which is most effected by covid-19 using machine learning algorithms. Machine learning algorithms are utilized to identify collective behavior together with the forecast of the expected spread of covid-19. Researcher aim to address each state separately on the base of covid-19. It enable the government (to apply the smart lockdown) to utilize the limited available resources and researcher analysis the states which is most affected by the Covid-19. A relative evaluation also performed to know that model fits for our data. Collect the data from Kaggle website. Variable such as Active Cases, Cured/Discharge, Deaths and Total Confirmed Cases etc. Analysis of data is represented using R and Visualization of Data procedures. The results show that Maharashtra is most affected by covid-19 and multiple regression Model is outperforming from other model