Abstract
Since the year 2019, a new virus called Corona Virus Disease 2019 (Covid-19) has appeared in the world. The spread of this virus has been too fast to affect all continents and have more than 200 countries affected in the world. To fight this pandemic, the most developed countries have put all their efforts in the production of vaccines against Covid-19 and a variety of vaccines with different efficiencies have been created. This study will first visualize the state of the pandemic and the spread of the vaccine in Tunisia. We will test different Machine Learning models that deal with such prediction problems, a comparison of the performance of these models will be made in order to determine the best model to predict the spread of Covid-19 in Tunisia. We will identify the temporal limits of the model prediction and the parameters that influence the prediction. We will eventually prove that the results obtained are promising and of good quality.
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