ML KNN.

  • The K-Nearest Neighbors (KNN) algorithm is a supervised machine learning method to tackle classification and regression problems.
  • The K-NN algorithm works by finding the K nearest neighbors to a given data point based on a distance metric, such as Euclidean distance.
    The class or value of the data point is then determined by the majority vote or average of the K neighbors.
    This approach allows the algorithm to adapt to different patterns and make predictions based on the local structure of the data.