Attended: Josh, Keola

• Started section 9 of the course: Support Vector Regression (SVR)
• Topics learned: SVR and Support Vector Machines

• COVID-19 forced today's lab hours to be online

• Support Vector Regression (SVR) uses a hyper plane to stratify data and features
• The best fit line, created with a simple regression model, paired with the data points (known as the support vectors) assist in creating the bounds of the hyper plane
• Points within the hyper plane are ignored