Posts

Jun 20, 2019 5 min read Data science

Exploring Process Mining in R

In this post, we’ll explore the BupaR suite of Process Mining packages created by Gert Janssenswillen of Hasselt University.

May 11, 2019 4 min read Causal inference

Designing an introductory course on Causal Inference

In this blog post, I describe the introductory course on Causal Inference I pieced together using various materials available online. It combines Pearl’s Causal Graph approach with statistics Gelman/mcElreath style.

Mar 21, 2019 9 min read Machine learning

The validation set approach in caret

In this blog post, we explore how to implement the validation set approach in caret. This is the most basic form of the train/test machine learning concept.

Mar 5, 2019 5 min read Electronics

Arduino Weather Station with datalogging

In this post, I show how to create a Arduino-based atmospheric sensor prototype capable of storing large amounts of data on a microSD card.

Dec 15, 2018 13 min read causal inference, machine learning

BART vs Causal forests showdown

In this post, we test both Bayesian Additive Regression Trees (BART) and Causal forests (grf) on four simulated datasets of increasing complexity. May the best method win!

Sep 1, 2017 14 min read machine learning

Improving a parametric regression model using machine learning

In this post, I explore how we can improve a parametric regression model by comparing its predictions to those of a Random Forest model. This might informs us in what ways the OLS model fails to capture all non-linearities and interactions between the predictors.