Data Science with Tidyverse II

Tidymodeling

The tidymodels framework is a collection of packages for modeling using tidyverse principles. This course introduces the principles and practices of predictive modeling using this framework in R. Designed for learners with R knowledge, the course emphasizes building, evaluating, and deploying machine learning models in a tidy and reproducible manner. Students will gain hands-on experience with data preprocessing, feature engineering, model tuning, and evaluation, using real-world datasets. The course consists of two parts, one introductory and one more advanced. These parts are combianed with several case studies for more practice.

Make sure to install and load Tidymodels:

install.packages("tidymodels")
library(tidymodels)

Schedule

	slides	worksheets
Introduction
Part I		1.Your Data Budget
		2. Build a Model
		3. Evaluate the Model
		4. Model Tuning
Part II		1.
		2.
		3.
		4.