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K-nearest neighbors (KNN) classification is a non-parametric supervised machine learning algorithm. It is a simple yet powerful algorithm that can be used for a variety of classification problems

github.com/emamulhossen
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KNN_for_Classification-7.2


KNN_for_Regression & Classification

Tech Used

Pandas NumPy

The Process of KNN Model:

  • Step 1: Select the number K of the neighbors
  • Step 2:Calculate the Euclidean distance of K number of neighbors
  • step-3:Take the K nearest neighbors as per the calculated Euclidean distance
    -step-4:Among these k neighbors, count the number of the data points in each category.

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K-nearest neighbors (KNN) classification is a non-parametric supervised machine learning algorithm. It is a simple yet powerful algorithm that can be used for a variety of classification problems

github.com/EmamulHossen

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mse accuracy score knn-classification r2score

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