Stars
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Needs cleaning + adding content - collaboration welcome!
An interactive article about the geometric intuition behind Linear Discriminant Analysis.
R package for visualising data transformation using animations.
BRowse Over Longitudinal Data Graphically and Analytically in R
Tidy data structures, summaries, and visualisations for missing data
Material for COMBINE NSW Workshop on R Markdown
R package to fit statistical models to repeated categorical rating data using Stan
Online teaching modules for stats and R coding inside a fictional narrative about a miniature giraffe species.
🚀 Automatically compile linear algebra R code to C++ with Armadillo
Generalized Additive Models in R: A Free Interactive Course
Easily generate information-rich, publication-quality tables from R
A Javascript / Node.JS port of NumPy's multivariate_normal