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statmills.bsky.social @statmills.bsky.social · 09/04/2026

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

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statmills.bsky.social @statmills.bsky.social · 07/04/2026

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

statmills.com

Gradient Boosting Parameters

In this post I’ll walk through how you can use the same principles behind Gradient Boosting Machines (GBM) to predict parameters of models in the same way traditional GBMs predict 1-dimensional target...

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statmills.bsky.social @statmills.bsky.social · 05/02/2025

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...

statmills.com

A First Look at Some Atlanta Housing Data

I recently found out that the Federal Housing Authority publishes a ton of granular housing data and wanted to start exploring the data for Atlanta, where I live. I’m not sure there will be anything r...

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statmills.bsky.social @statmills.bsky.social · 05/02/2025

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 🤬

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