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How to implement k-Nearest Neighbors in Python. This tutorial is broken down into the following steps: Handle Data: Open the dataset from CSV and split into test/train datasets. Similarity: Calculate the distance between two data instances. Neighbors: Locate k most similar data instances. Response: Generate a response from a set of data instances.
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