RESOURCES
A few useful things
to keep close.
Reusable guides, notebooks, and templates for thoughtful AI projects. Practical support for the work, available whenever you need it.
4 resources
Notebook · FREE DOWNLOAD
Confusion matrix, without the mystery
A downloadable Jupyter notebook that builds evaluation metrics from 24 transparent synthetic examples.
Open resourceGuide · FREE DOWNLOAD
Model evaluation checklist
A compact, reusable routine for checking the data, metrics, mistakes, and claims in a classification project.
Open resourceTemplate · FREE DOWNLOAD
From topic to testable project
A one-page planning canvas for narrowing an AI topic to a question the available data can answer.
Open resourceTemplate · FREE DOWNLOAD
A lightweight experiment log
A practical Markdown template for recording the question, setup, result, and next decision in an ML project.
Open resourceNo resources match this selection.
MORE THAN A DOWNLOAD
See the idea
in motion.
Use the threshold lab to explore how precision, recall, and error cost respond to a decision rule. The matching notebook lets you work through the calculations yourself.
Try the interactive lab →