Learn how to fit machine learning models using the parsnip package including linear regression, decision trees and boosting trees.
Free
Outline
Create a Linear Regression Model
Fit a Linear Regression Model
Exercise: Fit a Linear Regression Model
Understand the Fitted Model
Exercise: Access Fitted Model
Quiz: Interpret Coefficients
Interpret Significance Values
Quiz: Interpret Significance Values
One–Hot Encoding: Use Factor Variables as Predictors
Quiz: Use Factor Variables as Predictors
Outline
Fitting Decision Trees
Plotting Decision Trees
Exercise: Fit and Plot a Decision Tree
Interpreting Decision Trees
Quiz: Interpreting Decision Trees
Decision Tree Hyperparameters
Hyperparameter: tree_depth
Exercise: tree_depth
Hyperparameter: min_n
Exercise: min_n
Hyperparameter: cost_complexity
Exercise: cost_complexity