Week 2 Forum

Why we used Feature Scaling?

Why we used Feature Scaling?

by Tanmay Chandra Ray -
Number of replies: 1

Feature scaling is a method used to normalize the range of independent variables or features of data. In data precessing it is also known as data normalization and is generally performed during the data preprocessing step.

In reply to Tanmay Chandra Ray

Re: Why we used Feature Scaling?

by Md Abdullah Al Noman -
Most of the times, our dataset will contain features highly varying in magnitudes, units and range. But since, most of the machine learning algorithms use Eucledian distance between two data points in their computations, this is a problem.
So for solve the problem we used feature scaling..