Virtual Labs

a: K-Normal Network b: K-Nearest Neighbors c: Key-Neural Network d: Known-Node Neighbors

a: Number of neighbors (K) b: Distance metric c: Learning rate d: Algorithm to compute nearest neighbors

a: Supervised learning b: Unsupervised learning c: Reinforcement learning d: Semi-supervised learning

a: Manhattan distance b: Euclidean distance c: Minkowski distance d: Hamming distance

a: It can be used for classification b: It can be used for regression c: It can be used for classification and regression d: None of the above

To study and implement the K-NN Classifier for pattern recognition and prediction