My solutions to the exercises of ISLR, a textbook that explains the intuition behind famous ML algorithms such as Gradient Boosting, Hierarchical Clustering and Elastic Nets, and shows how to implement them in R.
My solutions to exercises of R for Data Science, a book about how to use the tidyverse ecosystem in R to perform end-to-end data analyses, written by the creators of dplyr and ggplot2 themselves.
