Experiment Journal

Externalize your experimental reasoning. Every ML project is a sequence of hypotheses tested — this skill makes that sequence visible, persistent, and learnable.

The Iron Law

NO NEW EXPERIMENT WITHOUT LOGGING THE HYPOTHESIS FIRST

If you're about to change a hyperparameter, swap a dataset, try a new architecture, or modify a training recipe — write down what you expect to happen and why BEFORE running it. This is how you learn from experiments instead of just running them.

File Structure

Maintain these files in the project root (create if they don't exist):