This is a reasearch study conducted by myself, Natasia Fernandez, and Sergey Zyl that compares regression models for predicting cumulative Confirmed Covid-19 Cases over time. In the study we look at different types of regression modelling as it pertains to time-series data, taken from NYTimes github, and the different tools that can create these models. Code for my portion of the study is provided (Linear Regression, ARMA model).
The data set can be found here: https://www.kaggle.com/fireballbyedimyrnmom/us-counties-covid-19-dataset/discussion/171914