Topics learned: SVR, Decision Tree Regression (DTR), Random Forest Regression (RFR)
Problems
COVID-19 forced today's lab hours to be online
Reminders
'Fit' typically normalizes data between -3 and 3 and is used when there is a large discrepancy between two sets of data (i.e. x = (1:10), y = (30:100))
When normalizing data, create new variables (i.e. x_norm) instead of updating original variables
DTR and RFR are typically used with datasets that have more than one feature
With DTR, splits are determined through an algorithm while RFR determines splits randomly
When predicting for values in a range/split, the average value of the independent variable (within that specific split) is taken.