Question: Could you implement your own KNN function from scratch (without calling any existing classifier packages)? Your own KNN function must have following parameters to

Could you implement your own KNN function from scratch (without calling any existing classifier packages)? Your own KNN function must have following parameters to tune: n_neighbors, weights. Can you compare your own classifier with sklearn neighbors.KNeighborsClassifier in terms performance, complexity, etc. Data usage: datasets.load_iris() from sklearn.

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Answer kNearest Neighbors kNearest Neighbors KNN is a supervised machine learning algorithm that can be used for either regression or classification tasks KNN is nonparametric which means that the alg... View full answer

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