- What is regression? (Hint: it is the art of making good numeric predictions, one of the most important tasks in data science, machine learning, or statistics.)
- When does it work, and when does it not work?
- How to move fluidly from basic ordinary least squares to Kaggle-winning methods such as gradient boosted trees.
All of this is demonstrated using R, with many worked examples and exercises.
We worked very hard to make this course very much worth your time.