I extracted the data from John Hopkins Github repository, cleaned it, built a running bar chart on the data and used Benford's Law to check the consistency in the confirmed cases dataset.
What I learned how to built a running bar chart, use google clouds AI platform (for predictions which I have not included here since it's not working) and Benford's law & it's implimentation.
What's next for Analysis on COVID-19 Dataset Build predictive model on the COVID-19 dataset
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