David Neuzerling

David Neuzerling

Data, Maths, R

I have a simple machine learning workflow that I recreate whenever I’m testing something new. I take some interesting data and a target, throw in some pre-processing, tune hyperparameters with cross-validation, and train a random forest. It’s all the basic ingredients for a machine learning model. Since I like Julia so much, I’ll recreate my simple machine learning workflow with Julia’s MLJ package.

It’s no secret that I love R and begrudgingly use Python. But there’s a another option for data science, and it promises the speed of C with the ease of use of R/Python. That language is Julia, and it’s a delight to use. I took some time to learn the basics, and I’m sharing my impressions here.

Recent posts


Powered by Hugo and hugodown.

This content of this blog is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License except where stated otherwise.