Introduction to Machine Learning: K Nearest Neighbors (KNN) - PythonAlgos

K Nearest Neighbors or KNN is a standard Machine Learning algorithm used for classification. In KNN, we plot already labeled points with their label and then define decision boundaries based on the value of the hyperparameter "K". Hyperparameter just means a parameter that we control and can use for tuning. "K" is used to represent how many of the nearest neighbors we should take into account when determining the class of a new point. In this post we'll cover how to do KNN on two datasets, one contrived sample dataset and one more realistic dataset about wine from sklearn.