Q13: Explain K-Nearest Neighbors classification Algorithm with a suitable example.
Introduction K-Nearest Neighbors (KNN) is a simple and intuitive supervised machine learning algorithm used for classification and regression tasks. It classifies new data points based on the majority label of the ‘k’ closest training examples in the feature space. How KNN Works Choose the number of neighbors ‘k’ Calculate the distance (e.g., Euclidean) between the […]
Q13: Explain K-Nearest Neighbors classification Algorithm with a suitable example. Read More »