GLOBAL FORECASTING OF COVID-19 USING ARIMA BASED FB-PROPHET
Dr. Shikha Gaur · International Journal of Engineering Applied Sciences and Technology · 2020
In this paper, global outbreak of COVID-19 is analyzed.Forecasting is a task that helps system with measurements planning and irregularity detection.Regardless of its importance, there are encounters associated with producing reliable and high -quality forecasts, especially when there are a variety of time series and analysts.To address these encounters, we describe a practical approach to forecasting "at scale" that combines configurable models with analyst-in-the-loop performance analysis.We propose a modular regression model with interpretable parameters that can be intuitively adjusted by analysts with domain knowledge about the time series.We describe performance analyses to compare and evaluate forecasting procedures.Comparison of diverse forecasting schemes are depicted, outcome of the same is discussed.