This is nice brief introduction to LR but I would have loved to know more about GD than the OLS side and trying it out in numpy or python. This help with quick understanding but lacks the GD part.
I agree but understanding both errors and the cost function is also important as GD is used more in other places and trying the derivatives is as much important than just implementing it. That will help for beginners to understand why we need GD in the first place and how does it improve the optimization
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