Lecture 1: Git, RMarkdown & Portfolio
Lecture 2: dplyr and ggplot2
Lecture 3: tidyr and purrr
Lecture 4: Linear regression
Lecture 5: Cross validation with tidymodels
Lecture 6: Tree based models
Lecture 7: Boosted Tree
Lecture 8: GLM
Lecture 9: Deep learning in R
Lecture 10: Deep learning in R