Lasso Regression with Tidymodels and The Office

Implement lasso regularized regression modeling in R using tidymodels and #TidyTuesday data on episodes of The Office. Explore the process of building a dataset, separating rows, creating a workflow, and performing lasso fit with grid functions. Visualize error bars, analyze variable importance, and reorder variables for optimal results. Test the model and draw conclusions from this practical application of machine learning techniques to analyze popular TV show data.

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