Moving on from logistic regression, let's try our first non-regression model, k-nearest neighbors (kNN). kNN is also a simple classification model, and it's one of the easiest model algorithms to grasp. It follows on from the basic premise that if I want to classify a record, I should consider other similar records.
kNN is implemented in multiple existing Go packages including github.com/sjwhitworth/golearn, github.com/rikonor/go-ann, github.com/akreal/knn, and github.com/cdipaolo/goml. We will be using the github.com/sjwhitworth/golearn implementation, which will serve as a great introduction to using github.com/sjwhitworth/golearn in general.
