We recently completed a 10 episode series on the Tidy Explained screen cast about building models within the {tidymodels} framework of R.
To tie it the series together I put together an RMarkdown file that walks through the model fitting process in {tidymodels}. The RMarkdown template provides a step-by-step process that one can take when building {tidymodels} on their own data.
If you knit the RMarkdown template, you will get an html report that covers the basics of:
- Splitting data into training, testing, and cross validation sets
- Specifying models
- Pre-processing with model recipes
- Setting up workflows and workflowsets
- Fitting models and parameter tuning
- Evaluating model outputs
- Making predictions on test data
- Saving the model workflow for future model deployment
- Loading the saved model workflow and deploying it on a new data set
To access the template, go to my GITHUB page.
Below are the 10 {tidymodels} episodes we did on Tidy Explained if you’d like to see the processes performed in real time:
TidyX 77: Intro to tidymodels
TidyX 78: Splits & Recipes
TidyX 79: Cross-Validation & Model Metrics
TidyX 80: Tuning Decision Trees
TidyX 81: Logistic Regression
TidyX 82: Random Forest Classifier
TidyX 83: Naive Bayes Classifier
TidyX 84: Workflowsets
TidyX 85: Workflowsets & Parameter Tuning
TIdyX 86: Tidymodels interview with Julia Silge