Supervised Learning - Classification Week 8 Challenge

Advantages

K-NN is pretty intuitive and simple

K-NN has no assumptions

No Training Step

One Hyper Parameter

Very easy to implement for multi-class problem

Disadvanatges

K-NN slow algorithm

K-NN needs homogeneous features

Optimal number of neighbors

Outlier sensitivity