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.
Deze oefening maakt deel uit van de cursus
Analyzing IoT Data in Python
Interactieve oefening met praktijkervaring
Probeer deze oefening door deze voorbeeldcode aan te vullen.
# Import StandardScaler
from ____ import ____
# Initialize StandardScaler
____ = ____()