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Feature Engineering for New Models | Dataford Interview Questions

All questions/Machine Learning

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Feature Engineering for New Models

MediumFeature EngineeringModel EvaluationSupervised Learning

Problem

Scenario

You are starting a supervised learning project and have raw input data from several sources. You need to decide which transformations, derived variables, and representations will help the model learn useful signal without creating leakage or unnecessary complexity.

Question

How would you approach feature engineering for a new ML model?

Problem

Scenario

You are starting a supervised learning project and have raw input data from several sources. You need to decide which transformations, derived variables, and representations will help the model learn useful signal without creating leakage or unnecessary complexity.

Question

How would you approach feature engineering for a new ML model?

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