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COVID-19 Data Mining, Processing, Analysis & Predictions

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COVID-19 Extensive Analysis

Acknowledgements

Thank you Center for Systems Science and Engineering (CSSE), Johns Hopkins University for open sourcing the updated and compiled global COVID-19 data repository consisting of the total number of confirmed cases, total number of deaths and total number of recovered cases. Also, I would like to thank Sudali Rajkumar for providing India's updated COVID-19 dataset via Kaggle.

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Delivers detailed data-driven insights to the stakeholders.

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Visualized multiple factors like mortality rate, recovery rate, number of positive cases, deaths and recoveries.

Tech Stack

Python, Jupyter, Pandas, NumPy and Plotly.

Jupyter Notebooks Link

https://nbviewer.jupyter.org/github/ramprasathasokan/COVID-19/tree/master/

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COVID-19 Data Mining, Processing, Analysis & Predictions

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