what is the need to normalise training data and why for even test data ?
Why we are doing normlisation
Hey @rhythm.narula26, 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 a common scale, without distorting differences in the ranges of values. For machine learning, every dataset does not require normalization. It is required only when features have different ranges. I would suggest you to go through the below articles to understand in a detailed manner :
Data Normalization
Should normalization be applied to Test Data as well ?
Please go through the above 2 links.
I hope this clears your doubt ! 
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