NEED FOR NORMALISATION THE DATA?

#1

In the "hardwork pays off " challenge , why did we normalise the data? Do we have to normalise all the dataset for all the algorithms?

#2

hey @rohansrivastav ,
Normalization is technique is used

  1. to handle widely distributed data.
  2. Act as a kind of regularization
  3. Helps in learning the data better

And along with this , there are some assumptions made by many models like linear regression , that they assume the data that is being provided as input to them is normalized.
Hence we need to normalize our data