Tidymodels breakout
What questions do you have from the live coding demo?
Tidymodels: Breakout Room #1
How do you teach the steps in creating a recipe? This was confusing to students
Where does prediction v. inference fit in a stats1 or 2 course?
How do you fit R coding into traditional stats1 course?
Tidymodels: Breakout Room #2
How much tidyverse/tidymodels exposure to students have prior to the regression analysis course at Duke?
Tidymodels: Breakout Room #3
Tidymodels: Breakout Room #4
Tidymodels: Breakout Room #5
How do you address lack of students coding background?
Tidymodels: Breakout Room #6
Tidymodels: Breakout Room #7
What happens if you leave out step_dummy?
Can you add interaction terms into the formula versis the recipe step?
Does this approach bypass lm() entirely?
How does success with the verbosity of tidymodels look with undergraduates?
What is the timeframe\share for teaching conceptually vs computation with tidymodels.
Tidymodels: Breakout Room #8
Tidymodels: Breakout Room #9
How would you incorporate data-driven model building (e.g. using results of statistical tests to edit a model) into the tidymodels framework?
Is assessment of model assumptions and other diagnostic procedures conducted in a separate step?
What changes if the interest is in inference and not prediction?
Tidymodels: Breakout Room #10
Tidymodels: Breakout Room #11
Tidymodels: Breakout Room #12
Tidymodels: Breakout Room #13
Writing exercises breakout
Write your group’s response to one of the writing exercises.
Writing: Breakout Room #1
Do EDA on training data only so that your model fitting is not impacted by what you see in testing data
Writing: Breakout Room #2
Writing: Breakout Room #3
Writing: Breakout Room #4
Writing: Breakout Room #5
Writing: Breakout Room #6
Writing: Breakout Room #7
Writing: Breakout Room #8
Writing: Breakout Room #9
Writing: Breakout Room #10
Writing: Breakout Room #11
Writing: Breakout Room #12
Writing: Breakout Room #13