TutorSyntax | AI & Data Science Learning Studio | v26
LEARN. PRACTISE. BUILD.

Name (optional): ____________________    Date: __________

1 — Data Detective (20–30 min)
A. How many raw rows, repeated IDs and missing counts are present?
B. Compute a mean after counting repeated IDs once. State what you did with missing counts.
C. Compare the mean with and without the flagged value of 130. Is deletion justified?
D. Record one question you would ask the original data collector.

2 — Train & Test Studio (30–45 min)
A. Explain why days 17–24 were excluded from training.
B. Write down the fitted model's slope and intercept.
C. Calculate one absolute error and report regression MAE and baseline MAE (hires).
D. Explain one feature omitted from the regression model.

3 — Classification Lab (35–50 min)
A. Compare predictions for k=1, k=3 and k=5.
B. Give a false-positive and false-negative example.
C. Explain why 8 test records are inadequate to establish real-world reliability.

4 — Assessment & Portfolio (25–40 min)
A. Complete the online eight-question quiz, note what you need to revisit.
B. Prepare a portfolio report: question, source, cleaning, method, evaluation, two
   limitations, one ethical consideration, and next steps.
C. Explain what you checked yourself and what help you received.

All datasets are teaching examples. The bike-hire CSV is the fictional Chapter 18
resource from AI & Data Science Foundations. This is not an official exam/EPQ task.
Free resources: https://tutorsyntax.com/ai-data-science/
