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This course demonstrates how to use R and tidymodels to prepare episode data, tune and fit a lasso regression model, evaluate its performance, and examine variable importance when predicting IMDb ratings for The Office episodes.
Syllabus
Introduction
Getting the data
Building the dataset
Building the data set
Separate rows
Putting it all together
Show Legend
APIs
Test split
Update Role
Workflow
Lasso fit
Grid function
Grid metrics
Error bars
Visualization
Finalisation
Final lasso
Variable importance
Reordering variables
Rerendering
Testing
Conclusion
Taught by
Julia Silge