Hey wanna know why we are doing normalisation of the data.
Why we do normalisation of a data
Hi @shreyashgupta68
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.
Consider a data collection that includes two characteristics: age and income. Where the age spans from 0 to 80 years old, and the income extends from 0 to 80,000 dollars and up. Income is roughly 1,000 times that of age. As a result, the ranges of these two characteristics are vastly different. Because of its bigger value, the attributed income will organically influence the conclusion more when we undertake further analysis, such as multivariate linear regression. However, this does not necessarily imply that it is a better predictor. As a result, we normalize the data so that all of the variables are in the same range.
We normalize training data to solve the model learning challenge. We make sure that the various features have similar value ranges (feature scaling) so that gradient descents can converge faster.
Hope this might helps 
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