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Companion repository for the Classical Machine Learning Workshop Series given by staff at the Data Science Institute (Data7).

License: GNU General Public License v3.0

HTML 69.44% JavaScript 27.58% TeX 1.77% R 1.22%

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classical-machine-learning-workshops

UA Data Science Institute: Classical Machine Learning Workshops

License: GPL v3

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.

Machine Learning Glossary

Schedule

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

CC BY-NC-SA

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