COVID - 19 Data Science Project

Contents

Data

• The data used for this project was taken from John Hopkins University and the COVID Tracking Project. Links can be found below

  • https://covidtracking.com/

  • https://github.com/CSSEGISandData/COVID-19

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.