K-Nearest Neighbour (KNN) is a nonparametric method that predicts the target point x with averages of nearby observations in the training data. The algorithm is simple and effective. It makes no assumptions about the underlying data distribution. However, it does not produce a model, which limits the ability to find new insights in relationships among features. In this project I wrote my own KNN algorithm which I compared to the model already available in R.

Link to project 1