1. Prediction versus explanation
Complete prediction_contract_template.txt. Mark each source field as identifier, available feature, target, timing metadata or prohibited future information. Write one predictive and one causal question.Write your answer in learner_worksheet.txt and retain the evidence file. Attempt this before opening the solution.
Your method:
Your result and evidence:
Limitations:
Independent extension:


2. Supervised and unsupervised learning
Classify four requests: predict delivery hours, predict late/not late, group similar routes and summarise last month’s delays. Explain whether each needs labels or ML.Write your answer in learner_worksheet.txt and retain the evidence file. Attempt this before opening the solution.
Your method:
Your result and evidence:
Limitations:
Independent extension:


3. Deciding whether ML is appropriate
Write a proceed/pause note for the Cedar experiment and a separate note for real deployment. List three missing pieces of evidence and a simpler comparator.Write your answer in learner_worksheet.txt and retain the evidence file. Attempt this before opening the solution.
Your method:
Your result and evidence:
Limitations:
Independent extension: