=====Forecasting Team Meeting - September 121, 2020=====
**Attended: Josh, Keola**

=====Updates=====
  * Started section 9 of the course: Support Vector Regression (SVR).
  * Topics learned: SVR and Support Vector Machines.
=====Problems=====
  * COVID-19 forced today's lab hours to be online


=====Reminders=====
  * Support Vector Regression (SVR) uses a //hyper plane// to stratify data and features.
  * The hyper plane is created with a regression model and is paired with the data points (known as the support vectors) which create a margin.
  * Points within the margins are ignored because (similar to noise) we want to select data that accurately represents the features.