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- ## K-Nearest Neighbors (kNN)
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- How to visualize the K-Nearest Neighbors (kNN) algorithm using scikit-learn.
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+ ---
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+ jupyter :
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+ jupytext :
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+ notebook_metadata_filter : all
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+ text_representation :
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+ extension : .md
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+ format_name : markdown
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+ format_version : ' 1.1'
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+ jupytext_version : 1.1.1
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+ kernelspec :
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+ display_name : Python 3
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+ language : python
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+ name : python3
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+ language_info :
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+ codemirror_mode :
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+ name : ipython
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+ version : 3
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+ file_extension : .py
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+ mimetype : text/x-python
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+ name : python
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+ nbconvert_exporter : python
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+ pygments_lexer : ipython3
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+ version : 3.6.10
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+ plotly :
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+ description : How to visualize k-Nearest Neighbors (kNN) created using scikit-learn
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+ in Python with Plotly.
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+ display_as : basic
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+ language : python
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+ layout : base
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+ name : k-Nearest Neighbors
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+ order : 1
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+ page_type : example_index
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+ permalink : python/knn/
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+ redirect_from : python/machine-learning-tutorials/
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+ thumbnail : thumbnail/line-and-scatter.jpg
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+ ---
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+
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+ ## K-Nearest Neighbors (kNN) Classification
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+
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+ How to visualize K-Nearest Neighbors (kNN) classification using scikit-learn.
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### Binary Probability Estimates with ` go.Contour `
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