The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

In this assignment, you will develop a K-Nearest Neighbor implementation using Python and NumPy only. Your input will be the Iris training data set (consisting of four features). The data set is ...

The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. The KNN algorithm ...

In this article I explain how to implement the weighted k-nearest neighbors algorithm using Python. Take a look at the screenshot of a demo run in Figure 1 and a graph of the associated data in Figure ...