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Feature Engineering & Modeling (Tabular Data)
Go deeper on tabular ML: feature design, leakage-proof validation, calibration, and model interpretation for decision making.
Feature EngineeringTabular MLInterpretabilityValidation
Duration
3 days
Format
Remote
Level
Intermediate
Key outcomes
- Engineer strong tabular features without leakage
- Choose correct validation (time split, group split, CV)
- Interpret models and communicate decisions clearly
- Calibrate probabilities and handle thresholds
Program
Detailed syllabus will be published soon. Contact us to receive the latest version.