# Introduction to classification models by using R and Tidymodels ## Workshop Source [Introduction to classification models by using R and tidymodels](https://docs.microsoft.com/en-us/learn/modules/introduction-classification-models/?WT.mc_id=academic-59300-cacaste) ## 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](./solution/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