In multivariate regression section video Regression - Underfitting Vs Over fitting, Generating Non-Linear Boundaries

#1

I want to know that use of reshape in this example why sir change the shape of x and y from (-1,1) to (-1,) i want to know what is difference between them at video time 8:00

#2

Basically to make them as vectors not matrix…

This is not mandatory step to convert into this shape (99,)…

If you remember sir was getting shape of (99,2,1) after np.stack() , at this point you can simply discard the last axis, by reshaping into (99,2) and you will also get the same thing.

You can do the either way…

Thanks :slight_smile:

#3

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