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This study approaches different machine learning models in order to determine which is the best fitting model in order to predict the widespread of covid-19 in various countries across the world. Accurate statistics of the future occurrences of these virus breakouts could be a very important tool for healthcare services and hospitals.

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This study approaches different machine learning models in order to determine which is the best fitting model in order to predict the widespread of covid-19 in various countries across the world. Accurate statistics of the future occurrences of these virus breakouts could be a very important tool for healthcare services and hospitals.

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