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Normalization is a technique often applied as part of data preparation for machine learning. The goal of normalization is to change the values of numeric columns in the dataset to use a common scale, without distorting differences in the ranges of values or losing information.

4 votes
1 answer
138 views

Should one normalize the frequency values when feeding it as an input to machine learning mo...

Consider an unsupervised data. The data is in the form of a csv file( I am using pandas dataframe for this). Its a web page data at different time steps and the way I am converting data to be fed to m …
Heisenbug's user avatar
  • 411
22 votes
3 answers
52k views

When to use Standard Scaler and when Normalizer?

I understand what Standard Scalar does and what Normalizer does, per the scikit documentation: Normalizer, Standard Scaler. I know when Standard Scaler is applied. But in which scenario is Normalizer …
Heisenbug's user avatar
  • 411