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Library/ Machine Learning (Supervised + Unsupervised)/ Supervised Learning by Building/ S14 · CAPSTONE: Two End-to-End Supervised Projects

subtopic

Final conceptual questions and viva

10 min applied15 min research1 curated resources

Answer 20 scenario questions and defend your choices in a 10-minute oral review. Concepts: Algorithm choice, metrics, tuning, generalisation, leakage, limitations, deployment Project A: Defend cost threshold, fairness choices and model choice. Project B: Defend time-series validation, peak handling and benchmark comparison.

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Final conceptual questions and viva · 1x1labs.ai