K - Nearest Neighbors

About this event

Workshop 10 | Machine Learning: Zero to Hero

In pattern recognition, the k-nearest neighbor algorithm is a non-parametric method proposed by Thomas Cover used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space. In this, we workshop we will learn another and very popular Classification ML Model.



Saturday, Oct 10
8:00 PM - 9:15 PM (PKT)