1. L2 normalization is another technique to normalize the data given.
  2. It is also called Unit Vector Normalization
  3.  It scales the components of a feature vector such that the vector has a length (or norm) of 1.
  4. It is not suitable to apply in all cases
  5. In cases where directionality is more important than magnitude, or when you need to standardize the scales of various features, L2 normalization is a powerful
    tool.

Formula

Load libraries and read data

Separate features and target(Outcome)

Define L2 normalization function and call

Check the calculations