K-Nearest Neighbors (KNN) is a simple and intuitive machine learning algorithm used for classification and regression tasks. It operates on the principle that similar things exist in close proximity. Here’s how it works:
How KNN Works:
Training Phase:
KNN doesn’t actually have a training...
KNN Algorithm And Its
Applications
Name :- Shweta Tripathi
University Roll NO :- 10830622041
Subject Name :-Machine Learning
Paper Code :-PCCAIML-502
Paper :- CA1
, Introduction to
KNN Algorithm
The K-Nearest Neighbors (KNN) algorithm is a simple and
widely used machine learning technique for both
classification and regression tasks. It works by finding the
K closest data points to a new input and using their labels
or values to make a prediction.
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