Model Canadian Wind Turbine Capacity With Decision Trees and Tidymodels

Learn to model Canadian wind turbine capacity using decision trees and the tidymodels framework in this 40-minute tutorial. Explore data preparation, create exploratory plots, and analyze relationships within the #TidyTuesday wind turbine dataset. Dive into stratifying data, tuning decision trees, and collecting metrics to evaluate model performance. Visualize tree partitions, interpret results, and gain insights into predicting wind turbine capacity. Follow along with the provided code on Julia Silge's blog to enhance your understanding of decision tree modeling and data analysis techniques.

Introduction
Data
Data Preparation
Exploratory Plot
Relationships
Stratifying
Decision trees
Pause
Collecting metrics
Looking at the results
Best for the tree result
Lastfit
Graph
Tree partitions
Points
Geom jitter
Geom part tree
Visualization
Metrics
Slopes
Results
Summary