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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.
22
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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 …
4
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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 …