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 ejercicio forma parte del curso
Analyzing IoT Data in Python
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Import StandardScaler
from ____ import ____
# Initialize StandardScaler
____ = ____()