Posts

Gradient boosting?
Yet another article trying to explain how GBMs work.
Last updated on Apr 20, 2022 6 min read
Gradient boosting?
Nested cross-validation
A solution for overfitting in model selection
Last updated on Oct 24, 2020 11 min read
Nested cross-validation
Why do cross-validation?
It can be difficult to see the forest for the trees sometimes. And it certainly can be the case with cross-validation.
Last updated on Oct 11, 2020 4 min read
WSL2 and R
Why and how to use R from WSL2.
Last updated on Aug 27, 2020 2 min read
WSL2 and R
Charts can lie
It’s not cool if your chart’s designed to mislead, YB.
Last updated on Oct 14, 2019 4 min read
Learning to sell data science
Half of your job, regardless of what that job is, is being able to sell your work.
Last updated on Aug 7, 2019 5 min read
Learning to sell data science
Link functions matter
Benchmarking different link functions
Last updated on Jul 14, 2019 5 min read
Reflections on the tidyverse
Why I like (and use) the tidyverse
Last updated on Jul 7, 2019 8 min read R
Reflections on the tidyverse
File paths and data science projects
Some thoughts on keeping a data science project tidy.
Jun 13, 2019 2 min read
The Australian gender wage gap: interactive viz
A little more dataviz
Jun 9, 2019 10 min read ggplot2, wage-gap