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Lecture
Kernel Regression: K-nearest Neighbors
Description
This lecture covers the concept of kernel regression, focusing on K-nearest neighbors and the use of kernels to make data linearly separable by adding features. It explains the process step by step, from the basics of K-nearest neighbors to the application of different kernels for regression and classification.
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