Master K-Nearest Neighbor (KNN) in 1 Minute 🧠 | Easy Machine Learning Explained

K-Nearest Neighbors (KNN) is a simple supervised learning algorithm used mostly for classification, and sometimes for regression. It predicts outcomes by looking at the ‘k’ nearest data points and choosing the majority class or average value. Since KNN doesn’t assume anything about the data distribution, it’s considered a non-parametric, instance-based method.

READ MORE: https://www.geeksforgeeks.org/machine-learning/k-nearest-neighbours/