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This course demonstrates how to use R's tidymodels packages to preprocess GDPR violation data and model the relationship between violated articles and fine amounts. It covers exploratory visualization, feature engineering, workflows, fitting, prediction, and interpreting uncertainty.
Syllabus
Introduction
Exploring the data
Fine distribution
Visualization
Article Violation
Feature Engineering
Filtering
GDP
Outliers
Skip
Workflow
Looking at the model
Making new data
Predicting new data
Filtering results
Summary
Taught by
Julia Silge