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This repository is a summer data science project, containing 3 models to predict the spread of COVID, and a data visualization of state COVID trends.

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ZzRanger/COVID_Project

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COVID - 19 Data Science Project

Contents

Data

Models

  • LSTM: An LSTM Neural Network model was used to predict global COVID cases.

  • SIR: An SIR Epidemic Model was used to predict the number of people that get infected with or recover from COVID in 10 countries with the highest COVID cases.

  • Gaussian: A Gaussian Error Function was used to predict US COVID deaths.

Visualizations

  • State Visualizations: Data Visualizations of COVID trends in US States

Acknowledgements

Special thanks to Dr. Yusuf Uddin and Mr. Adnan Arefeen from UMKC for their suggestions and feedback for this project.

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This repository is a summer data science project, containing 3 models to predict the spread of COVID, and a data visualization of state COVID trends.

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