Machine Learning model to predict the number of cases contaminated by COVID-19.

Abstract Introduction: This paper presents a dedicated machine learning model to predict the number of cases infected by the Corona Virus; the case of Morocco was chosen to validate this study. Case description: Completely realized in Spark ML with the 'Scala' language and tested for a certain number of algorithms generated on datasets coming from dedicated sources to gather Covid19 data in the world. Discussion and Evaluation: The results show the possibility of achieving better scores prediction after using the proposed method. We tested our model on the case of China and the results were relevant. Conclusion The proposed Machine Learning model can be applied to data from any country in the world. We have applied it in this paper to the case of Morocco and China. We are sending this work to the world to help them fight this 2019 Corona Virus pandemic.