1. Recap Tidyverse
A Recap of the most important tidyverse functions needed for this course.
Learn the basic building blocks and terminology in machine learning. Differentiate between supervised and unsupervised learning.
3. Model Fitting Basics
See the basic model fitting processes with a simple regression and classification task.
4. Resampling and Preprocessing
Learn why resampling techniques are needed to fit machine learning models and apply the most important pre-processing steps to make most out of your data.