Time Series Facebook Prophet Model and Python for COVID-19 Outbreak Prediction

COVID-19 comes from a large family of viruses identified in 1965; to date, seven groups have been recorded which found affect humans. In the healthcare industry, there is much evidence that Al or machine learning algorithms can provide effective models solve problems order predict confirmed cases, recovered and deaths. Many researchers scientists field are also involved solving this dilemma, seeking understand patterns characteristics virus attacks, so may make right decisions take specific actions. Furthermore, many considered Coronavirus outbreak, such as retro prediction model, pandemic Kaplan’s neural forecasting model. Other research has used time series-dependent face book prophet model for India’s various countries. Thus, we proposed analysis Saudi Arabia. The series dependent fit data future predictions. This study aimed determine Arabia, using Time Series Analysis observe coronavirus pandemic’s spread daily weekly. We low ability forecast cases dataset. contrast, death high Finally, obtaining more could empower further validation.