#Classification Articles


Using a Neural Network to predict the Australian Open

I was introduced to tennis when I was very young by my grandfather and have distinct memories of watching Sampras, Agassi, and Hingis. While I no longer avidly follow the sport, I wanted to use a neural network to predict tennis matches and see how it performs when compared with …

Minkowski distance and its effects on KNN Classification

Minkowski distance is a generalized version of the distance calculations we are accustomed to. It can be defined as: Euclidean & Manhattan distance: Manhattan distances are the sum of absolute differences between the Cartesian coordinates of the points in question. Manhattan distances can be thought of as the sum of the …