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Scaling

Before applying a machine learning algorithm, one of the most common operations applied to the data is scaling.

Scaling data helps the algorithm converge faster. It also avoids having one feature dominate all other features.

You'll now create and inspect a standard scaler object.

The data is available as environment.

Cet exercice fait partie du cours

Analyzing IoT Data in Python

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Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Import StandardScaler
from ____ import ____

# Initialize StandardScaler
____ = ____()
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