Companion workshop materials utilized throughout iterations of the Classical Machine Learning workshop series. The workshops will utilize either Python's scikit-learn machine learning libraries or the R Tidymodels package.
Wedneday 3:00PM Spring 2023 (Zoom link)
| Date | Title | Educator | Materials |
|---|---|---|---|
| 01-Feb-2023 | Overview of Classical Machine Learning | Carlos Lizarraga | LINK |
| 08-Feb-2023 | Tidymodels: Build a Model | Greg Chism | LINK |
| 22-Feb-2023 | scikit-learn: Classification Algorithms | Carlos Lizarraga | LINK |
| 01-Mar-2023 | scikit-learn: Regression Algorithms | Carlos Lizarraga | LINK |
| 22-Mar-2023 | Tidymodels: Preprocess your Data with Recipes | Greg Chism | LINK |
| 29-Mar-2023 | Tidymodels: Evaluate your Model with Resample | Greg Chism | LINK |
| 05-Apr-2023 | scikit-learn: Clustering Algorithms | Carlos Lizarraga | LINK |
| 12-Apr-2023 | Tidymodels: Tune Model Parameters | Greg Chism | LINK |
| 26-Apr-2023 | scikit-learn: Dimensionality Reduction Algorithms | Carlos Lizarraga | LINK |
