Comparative Study Of Best Time-Series Models For Urgent Pandemic Management-1

With the effect of the pandemic increasing every day and casting a vehemently toxic influence in almost all parts of the world, it becomes important how can we contain the spread of the disease. In an effort to combat the disease every country has increased not only their testing facility but also the amount of medical help and emergency and quarantine centers. Here in this blog, we try to model Single-step Time Series Prediction using Deep learning Models on the basis of Medical Information available for different states of India. Considering all these factors, it becomes important to have a predictive model which can predict the Number of Active Cases, Deaths and Recoveries based on change in Medical Facilities as well as other changes in infrastructure. One step time series prediction is a supervised machine learning task that comes with the functionality where the previous n-values are available when the next value in the time-series is predicted.