UNIT 016 h allocated
Prediction-time features
- Encoding
- scaling
- missingness
- leakage control
← Course catalogue
MACHINE LEARNING / SPECIALIST
ML210Feature engineering & feature systems
24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief
Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.
BEFORE YOU BEGIN
A clear starting point.
Specialist studio; environment and faculty must be confirmed before scheduling
WHAT YOU SHOULD BE ABLE TO DEMONSTRATE
- Explain the assumptions and failure modes in prediction-time features.
- Complete the practical: build a point-in-time feature table and demonstrate a leakage case and its repair.
- Defend the resulting feature contract with reproducible evidence.
THE SUBJECTS / FOUR CONNECTED UNITS
What you will study.
UNIT 026 h allocated
Feature evaluation
- Ablations
- permutation checks
- stability
- selection bias
UNIT 036 h allocated
Feature stores
- Entity keys
- event time
- point-in-time joins
- offline/online parity
UNIT 046 h allocated
Operational contracts
- Freshness
- schema evolution
- ownership
- backfills
THE TRAINING STUDIO
Make the subject
visible in your work.
Build a point-in-time feature table and demonstrate a leakage case and its repair.
Evidence to produce
- Feature contract
- temporal join tests
- ablation report
Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.
ASSESS THE REASONING
A question you
should be able to answer.
Why is a correct entity key insufficient for a valid historical feature join?
Review dimensions
Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.
External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.