what is different between knn fine , knn cubic and svm linear. how to impliment it in python

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I have tried to find it on google and another platform there is no clear difference mentioned on the net. some say it is related to the kernal option available and other says it depends on the number of parameters you choose.

i have been trying to search about it for couple of weeks still i got 0 answers please help i am new to ml

https://www.sciencedirect.com/science/article/abs/pii/S1389128621000141?via%3Dihub

i am trying to replicate this research paper for learnoing purposes

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