Introduction to classification models by using R and tidymodels
- 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
- Students will be able to independently use their learning to:
- Experimenting with different classification models
- Tuning models hyperparameters
- Hands-on challenge on wine records dataset, following Challenge-Classification.ipynb notebook
- Knowledge check quiz
- Introduction
- Train and evaluate a binary classification model
- Create multiclass classification models
- Challenge - Create a classification model using Tidymodels
- Knowledge check