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Predict Class Membership for the Datasaurus Dozen With Tidymodels

Julia Silge via YouTube

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Overview

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This course uses the Datasaurus Dozen to demonstrate a multiclass random forest workflow in tidymodels. It covers resampling, model evaluation, ROC comparisons, confusion matrices, and visualization of class-specific errors.

Syllabus

Introduction
Get mean and correlation
Resampling
Preprocessing
Evaluation
Results
ROC Curves
ROC Comparison
Confusion Matrix
Visualization
Conclusion

Taught by

Julia Silge

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