Recent activity by kalyanak.p

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Please see example from the following link.The question is leaning towards a programming code solution in Python as the link above shows. Involving sklearn and any other ...
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Hi,After learnt feature scaling, I have some questions regarding Normalization.Standardization: rescales data to have a mean of 0 and standard deviation of 1 after a data...
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In any coding assignment or task at a higher educational level (University/College), would it be acceptable to use less coding and list modules or libraries that may not ...
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The KNN function in the sklearn library (when coded properly), outputs the points closest to p based on the value of k, and others.The point(s) would include itself when ...
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This is question 1d in the 2B exercises. The answer says the probability is 0 but I count 4 jokers in a 52 card deck, which means the probability is 1/13. Think I misunde...
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I am wondering what happens as K increases in the KNN algorithm. It seems that as K increases the "p" (new point) tends to move closer to the middle of the decision bound...
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I have read online articles involving KNN and its emphasis on normalization. I would like to know if all KNN functions in Python need to involve normalization? I do know ...
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Please explain ....$$a^2+b^2=c^2$$