K nearest Neighbour_Hamming Distance |Machinelearning|SNS Institutions

K-Nearest Neighbour (KNN) with Hamming Distance is a machine learning technique mainly used for classification problems involving categorical or binary data. Hamming Distance measures the number of positions where two data values differ. In KNN, the algorithm finds the nearest neighbors by selecting data points with the smallest Hamming Distance from the test sample. This method is commonly used in text classification, recommendation systems, and pattern recognition tasks. #snsinstitutions #snsdesignthinkers #designthinking