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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.

Este exercício faz parte do curso

Analyzing IoT Data in Python

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Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Import StandardScaler
from ____ import ____

# Initialize StandardScaler
____ = ____()
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