Below are digital resources that complement the book Practical Machine Learning with R: Tutorials and Case Studies.
A video from StatQuest by Josh Starmer. The video is the first part of four videos about Gradient Boosting. This video focuses on the main ideas behind using Gradient Boosting to predict a continuous variable.
This blog post from tidyTuesday by Julia Silge describes how to use tidymodels to build and tune an XGBoost model. The goal is to predict the outcome of volleyball games. The blog post also provides a video and an R tutorial.
An intuitive article with a numerical example demonstrating how Gradient Boosting works. The last part provides code example in Python.