This is a compilation of machine learning examples that I found. They are easy to understand, they address a fundamental principle, they explain why they chose a particular algorithm.
Some of them you will find very detailed; others are short and straight to the point.
I used R-3.6.3 and RStudio Preview 1.4. I also plan to use Anaconda, Miniconda and GNU Python for the parts where I make use of Python code.
All the code is reproducible.
install.packages("bookdown") # or the development version # devtools::install_github("rstudio/bookdown")