Problem #22. Different from actual definition of Normalization

[nithinraok]

Normalization theoretically means subtracting by mean and dividing by standard deviation so that overall data has zero mean and unit variance.

So the code becomes

Z=np.random.random((5,5));
a=(Z-np.mean(Z))/(np.std(Z))
print(a)

[lexnekr]

I think you're right about normalization.

https://en.wikipedia.org/wiki/Normalization_(statistics)

The task now uses the formula not "normalization", but "Feature scaling"

P.S. I created pull request.

[nithinraok]

Looks good to me 👍

[Yossarian0916]

a=(Z - Z.mean()) / Z.std() should actually be called standardization and z-score,
a=(Z - Z.mean()) / (Z.max() - Z.min()) is the feature scaling and normalization