Nombre: Salvador Antonio Figueroa González Carnet: FG18006

This project aims to utilize various types of regression to forecast future values relating to Starbuck's yearly revenue, New York Times' quarterly revenue, Whole Foods quarterly revenue, and LinkedIn quarterly memberships in a time series analysis. The data and the general workflow of the code was provided by the Eastern University course "Data Science for Business".