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Supervised /
Knn Classifier
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K represents the number of nearest neighbors used.
Train the model using the k nearest neighbors.
Predict the label of an unknown data point.
Use the KNeighborsClassifier from the sklearn library.

What does "K" represent in the KNN algorithm?
What is the role of the nearest neighbors?
How do we make predictions?
Which sklearn library do we use to make KNN predictions?