ML KNN.
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The K-Nearest Neighbors (KNN) algorithm is a supervised machine learning method to tackle classification and regression problems.
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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.