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.
This exercise is part of the course
Analyzing IoT Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import StandardScaler
from ____ import ____
# Initialize StandardScaler
____ = ____()