Attended: Josh, Keola

• Reviewed regression models and created templates for each model from scratch
• Topics learned: Linear Reg, Polynomial Reg, SVR, Decision Tree Reg, Random Forest Reg,

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

• 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.