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YouTube

Model Canadian Wind Turbine Capacity With Decision Trees and Tidymodels

Julia Silge via YouTube

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Overview

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This course demonstrates how to prepare Canadian wind turbine data and use tidymodels to fit, tune, evaluate, and interpret a decision tree regression model. It covers variable importance, tree partitions, resampling metrics, and test-set predictions.

Syllabus

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

Taught by

Julia Silge

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