Answers by kalyanak.p

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...

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 ...

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...

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 ...

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...

Please explain ....$$a^2+b^2=c^2$$