=====Forecasting Team Meeting - September 30, 2020=====
**Attended: Josh, Keola**

=====Updates=====
  * Reviewed regression models and created templates for each model from scratch
  * Topics learned: Linear Reg, Polynomial Reg, SVR, Decision Tree Reg, Random Forest Reg,
=====Problems=====
  * COVID-19 forced today's lab hours to be online


=====Reminders=====
  * R-squared is the metric used to determine whether or not the regression model fits the data well.
  * A good regression model has an R-squared value close to 1.
  * Not one regression model is best. One must evaluate the pros and cons of each regression model in relation to the data when deciding which one to use.