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The interview looks authentic. Thank you!

I see a max_error parameter in the kmeans function definition set to a default value of 0.01 which the candidate doesn’t use or talk about. What is that parameter?

Nice mock! However, at one point in video the interviewee said that we can use any distance in distance_function but what if I choose Cosine-distance? How would you calculate centroids? Choosing Cosine-distance would change this to a spherical clustering problem and the algorithm would change. So it's better to be sure that we know what we say in an interview .

points[points_i], passing list to a list or what, I mn sure it works here, and I am missing something but I don't know what please help

I see very little point to coding k-means.

🚀Love it!