Study
Machine Learning · The ML workflow
The end-to-end supervised learning loop: define the task, split data, pick a baseline, fit, evaluate on held-out data, iterate.
- Always split before you look closely: the test set is only for the final check.
- A trivial baseline tells you whether your model learned anything at all.