Introduction A couple weeks ago, I wrote a high-level post on REST APIs. One thing that I noted was that I couldn’t, in good faith, recommend running R (or Plumber, a common library used to create APIs in R) in any type of high-load production sy...

This post is part of a series called The Missing Semester of Your DS Education. Introduction At this point in this series, I’ve discussed a lot of aspects of putting machine learning into production. I’ve gone over workflow orchestration...

This post is part of a series called The Missing Semester of Your DS Education. Introduction Unit testing was a concept I had never even heard of before I started my second data science job. It never came up in any of my college stati...

Introduction In my last post I wrote about common classifications metrics and, especially, calibration. With calibration in mind, this post will show why balancing your classes – which is an all-too-common practice when working on classification ...

AUC goes by many names: AUC, AUC-ROC, ROC-AUC, the area under the curve, and so on. It’s an extremely important metric for evaluating machine learning models and it’s an uber-popular data science interview question. It’s also, at least in my exper...

Note: This post was updated as of 3/25/2023 for fitbitr v0.3.0 Introduction fitbitr 0.1.0 is now available on CRAN! You can install it with install.packages("fitbitr") or you can get the latest dev version with ## install.packages("devtools") d...