Scale and Normalize: When to Use Each Method?

Q: Scale and Normalize: When to Use Each Method?

This question evaluates a candidate's competency in feature scaling and normalization techniques within Machine Learning feature engineering, specifically the application of standardization and min-max normalization to numerical DataFrame columns.

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Question

Feature Scaling Before Modeling (CodeSignal Notebook)

Context

You're preparing features in a notebook step before training a model. You have a pandas DataFrame df with two numeric columns: age and income.

Task

Standard-scale the age column (mean 0, variance 1).
Min-Max normalize the income column to [0, 1].
Briefly explain when you would prefer each scaler.

Assume scikit-learn is available.

Scale and Normalize: When to Use Each Method?

Feature Scaling Before Modeling (CodeSignal Notebook)

Context

Task

Solution

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Scale and Normalize: When to Use Each Method?

Overview

Feature Scaling Before Modeling (CodeSignal Notebook)

Context

Task

Solution

Comments (0)