Which Of The Following Are Reasons For Using Feature Scaling?
Answers
Answered by
1
Answer:
Feature Scaling is a step by step process to handle the data. It normalizes the independent variables or data in a particular range. Now normalization is a step by step process which reduce the data anamolies in a relational database.
So to avoid those integrity problems feature scaling is needed. As it divided the attributes or the independent variables corresponding to their range. So there will be no issue regarding integrity.
Answered by
0
Answer:
ad is present mam please see attached
Similar questions