workshop-library/full/intro-classification-R-tidymodels/workshop-designer.md

Introduction to classification models by using R and Tidymodels

Workshop Source

Introduction to classification models by using R and tidymodels

Stage 1: Desired Results

1. Students will be skilled at:

• Understanding what is classification and when to use a classification model
• Training and evaluating regression models using the Tidymodels framework

1. Students will be able to independently use their learning to:

• Experimenting with different classification models
• Tuning models hyperparameters

Stage 2: Evidence

• Hands-on challenge on wine records dataset, following Challenge-Classification.ipynb notebook
• Knowledge check quiz

Stage 3: Learning Plan

• Introduction
• Train and evaluate a binary classification model
• Create multiclass classification models
• Challenge - Create a classification model using Tidymodels
• Knowledge check