There is always a confusion as to why we have two functions of randn and normal for giving the same output. And the key to understanding the difference between them is to understand, what is a normal and standard normal distribution. Normal Distribution : It is a Gaussian distribution or a bell shaped curve which has values distributed around a central value (i.e. the mean) with some standard deviation(i.e. the spread of the distribution). Definition in python is as below : numpy . random . normal ( loc = 0.0 , scale = 1.0 , size =100 ) This draws a random sample from the normal Gaussian distribution of dimensions 1x100 centered i.e. a GENERIC normal distribution loc :- the central value around which values are located scale :- the standard deviation of the sample size :- the dimensions of the array returned Standard Normal Distribution : It is a distribution or a bell shaped curve which has values distributed around 0 wi...
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