Implementing K-Nearest Neighbor Using NumPy

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K-Nearest Neighbor is a simple algorithm which uses distance metric to find the data points which are closer to the data point under examination. Smaller the distance, greater the potential of the data point to be part of a specific group.
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  2. k nearest neighbour
  3. machine learning
  4. NumPy
  5. python
  6. how to implement KNN
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