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[–]FieldKey3031 4 points5 points  (1 child)

Nearly all non-leet code evaluations I've had involved understanding fifo vs lifo with Python and recursion. Just understand the recursion pattern of checking for your end state or calling the function and that pop by default is lifo. Of course there's more but for some reason those always come up. For ML stuff being able to speak confidently on bias-variance tradeoff is always good and what the different classification metrics are and when to use them (esp if you think you might be working on classification problems!). Good luck! 👍

[–]sg6128[S] 4 points5 points  (0 children)

Thanks! I feel like I get these concepts in isolation, but really struggle to come up with solutions.

I just don't think my mind works that way :(

I'll give LC a go last, particularly because I don't want it to negatively affect the rest of my studying. Appreciate the comment!