Checking the classification accuracy of labeled subsets of various lengths (with a limit) on a continuous two-dimensional series?

Question

Django

I have looked at different examples of classifiers in python. In general, with my modest understanding of the subject, I realized that the data for training is supplied in packets of the same length "or something else is fixed there." Further, I can not understand how I can change the code of some example.
Please show code examples for my task. Thank you.

Answer 1

There is nothing better and easier than the official guide. Either you master it, or you will never learn Django.

Answer 2

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Answer 3

Will it really help?
Well, catch:
https://towardsdatascience.com/implement-k-nearest...
https://medium.com/@aditya_ch/introduction-to-clas...
https://gigadom.in/2017/10 /13/practical-machine-le...
https://towardsdatascience.com/building-ak-neares...
https://towardsdatascience.com/decision-trees-and-...
etc.
But in general, take any book on Machine Learning, starting with Van der Plas or Raschka - and go ahead, there will be enough "code examples" for several years with your head.
What is meant by "a continuous (?) two-dimensional series (??)" remains a mystery.
PS By the way, have you already figured out the search for anomalies in time series? ;-)