In case anyone missed it from earlier this week my latest blog post extends Gradient Boosting to fit just about any model you want.

I have a new blog post out today that I'm really excited about. I walk through how you can use Gradient Boosting to fit entire vectors of parameters for each observation, not just a single prediction. statmills.com/2026-04-06-g... #pydata #rstats

My new blog post explores some open housing data with some interesting (to me) maps. I walked through how to smooth location data using the {mgcv} package with Markov Random Fields for those interested in learning more! statmills.com/2025-02-04-f...

I hate how it's never the actual data analysis that trips me up when switching between R and Python, it's the silly base stuff like `int` and `len` that takes me multiple tries to switch over 🤬