A Classification of COVID-19 Cases using Fine-Tune Different Model of Machine Learning

The Machine Learning Techniques are used for finding upcoming or futuristic Prediction. It’s very powerful tools in finding of future prediction. From Last decade to recent days Data mining and Machine Learning play vital roles in many Industries. In last 2-3 Years overall World is suffering from a new Virus i.e., COVID-19. The first covid case was detected in Month of December. In very less time it spread out throughout the world. In 2-3 months, this illness is declared as Pandemic by WHO (World Health Organization). The behaviour of spreading of COVID-19 was very abnormal. it was growing Exponentially. Here In this Paper as a Researcher's we are trying to find out overall Analysis of COVID-19. Here our main motto to finding How many patients gets infected, how many of them get cure in sometimes and finally How many of them goes to death. Here our main concentration is to finding the features of the COVID. We will be applying Machine Learning Algorithms like LR, SVM, DT and many more. After applying the above methods, we will find the performance measures of each one and compare with their values. Finally, we will try to Implement some new Enhancement in Existing Algorithms.