Hi Sir/Ma’am
Sir my doubt is how this part of code work.
Sir said that for multivariate_normal we have to pass the mean and covariance matrix.
So how mean goes in this, like what mean_01=np.array[1,0.5] does it simply creates an array .
So please elaborate this code as to how we create a mean and what the covariance does .
Thanks & Regards
hey @Royal_Yashasvi ,
initially to create a sample data (artificial ) we need to provide the mean and covariance values for that data to be generated.
You can understand it in this way that , generally what happen is we have data , then we can calculate mean and covariance of it , but here we are going in reverse.
Hence , we randomly create two such pairs of mean values and covariances , and create sample data using multivariate_normal
Its actually a type of distribution , you can understand more about it in deep on google.
yes , that’s simple array containing the mean values of data to be created further.
These are just random values choosen . You can try anything.
Covariance explains a relationship of how a distribution is going to be based on other distribution.
I hope this helps.
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