Demystifying Machine Learning

Summary:

• You can perform normalization to put the range of feature vector values into a similar range.
• Examples:
  • Min-max scaling scales values to be between $0$ and $1$.
  • Standarization scales values to be centered at $0$ (zero mean) with a variance of $1$.