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.
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!
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.