Nathan C. Layman

Why are there so many Python package managers?

Neither the forest NOR the trees

Posted on February 14, 2025

I’m a data scientist that works primarily in R. Recently I’ve been on a path to learn more about Python, which I initially installed via brew. Unfortunately I almost immediately ran into the following error: [Read More]
Tags:
- data
- Python
- why?
Tidymodels hyperparameter tuning with targets dynamic branching

Dynamic branching with tune_grid()

Posted on September 9, 2024

Machine learning model parameters [Read More]
Tags:
- data
- R
- tricks
What is Machine Learning?

Posted on August 7, 2024

While I was visiting with my aunt the other day she asked me, “what is machine learning?” I was caught off guard because the term is so common place in my work that I hadn’t really tried to explain it as simply as possible before. I normally think about Machine... [Read More]
Tags:
- machine learning
R tips and tricks

Posted on August 7, 2024

Here are some random R tips and tricks that might be useful to you, or more likely, useful to me when I forget how I did the thing and need to remind myself. [Read More]
Tags:
- data
- R
- tricks
Obfuscating spatial data

How can we protect sensitive information while still ensuring reproducibility?

Posted on August 1, 2024

First the awesome graphic from this post comes from this really interesting project to construct model planets by procedurally generating maps on a sphere. [Read More]
Tags:
- data
- R
- tricks
Single Vector Element Standardization

Finding harmony within oneself

Posted on July 5, 2024

Standardizing data vectors is an important step in data science. For example, different data sources often represent the same entity, such as country names, in different ways or with different spellings. In addition, small errors or formatting inconsistencies can complicate joins and lead to difficulties in downstream analysis. While excellent... [Read More]
Tags:
- data
- R
- tricks

Why are there so many Python package managers?

Neither the forest NOR the trees

Tidymodels hyperparameter tuning with targets dynamic branching

Dynamic branching with tune_grid()

What is Machine Learning?

R tips and tricks

Obfuscating spatial data

How can we protect sensitive information while still ensuring reproducibility?

Single Vector Element Standardization

Finding harmony within oneself