My question is simple: I have a dataset with multiple numerical features (let's say 1500 data points with 7 features).
The question is the following:
Can you generate 10k rows of new data from the same distribution?
Now, I'm having a little trouble approaching this problem. How would you do that? And which hypotheses would you take?
I was trying to look at each individual feature and plot pdf for each one of them, see what they look like, try to make some assumptions about the distributions they come from, but not really sure about that.
For info, I'm doing this on Python, I don't know if you an idea of which packages I could use.
Thanks for your help !