The KidML workbook for a first machine learning project: eight missions from a question to a model you have tested honestly
The calculators on this site each answer one question about a machine learning project: how big the data is, which kind of model fits, how many parameters it has, whether it fits in memory, how long it trains, and how it scores. None of them puts those in order, and a single accuracy score can mislead: on the worked spam filter, a model that never finds a spam email still scores 80%.
The First ML Project Workbook puts them in order. Eight missions take a learner from a question a computer can learn, through planning and splitting the data, labeling and checking it, choosing and sizing a model, checking it will run, to testing it honestly against a lazy model, and sharing it on a one-page poster with a fairness check.
For learners about 12 and up, or younger with a grown-up; works with free no-code tools or a first Python course. Not a coding course. Includes a guide for grown-ups on keeping personal data out of projects. With your purchase comes a personalised sheet setting your own model against your lazy model.
What’s inside
Pick a question a computer can learn
Plan and split the data
Collect, label and check the data
Choose a kind of model
Count the parameters
Check it will run, and how long it takes
Test it honestly: the Accuracy Trap
Share it, and check it is fair
A project poster, planner, test worksheet and data log
Bonuses: twelve project ideas, a word list and a guide for grown-ups
A personalised sheet: your model against the lazy model
Plus a second PDF, worked out for you
Run one of the free calculators first and buy from that page, and this sheet is computed from your own figures. Buy from here and the pack still arrives complete — the sheet simply has no numbers of yours to work from yet.
14-day refund, no questions asked. If the pack is not what you needed, email support@graburl.com and we refund you in full — you do not have to justify it or delete the file. Full policy.
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