Redesign ML units

Question

Redesign ML units

Opened this issue 2 years ago · 6 comments

Consider Alison Hill's revised tidymodels workshop. Still pretty similar to the old one, but has some distinct adjustments. Worth incorporating into a three-day unit on ML?

Answer 1 · 2022-10-06T14:53:45.000Z

Day 1

Keep what I have
Incorporate definition of stratified sampling
Introduce yardstick for assessing model performance
Define ROC AUC

Day 2

Keep as is

Day 3

Introduce tree-based inference
Define decision tree and hyperparameters
Fit decision tree and random forest
Tune hyperparameters for RF model using tuning grid
Identify the best model and finalize the workflow

Answer 2 · 2022-10-06T14:55:07.000Z

Homework

Explicitly incorporate tuning for second dataset
Replace classification problem with more culturally-sensitive problem

Answer 3 · 2022-10-06T19:03:43.000Z

In-class exercises

Ensure they match the slides.

Day 1
Day 2
Day 3

Answer 4 · 2022-10-17T15:32:26.000Z

Still need to revise hw07

Answer 5 · 2022-10-19T17:20:42.000Z

Fix exercise files to be qmd not rmd

Answer 6 · 2022-10-19T18:05:23.000Z

Fix roc_curve() slide. Should read

roc_curve(data, truth, ...)

truth = actual outcome

... = probability of one of the outcome classes