## Regression: Kernel and Nearest Neighbor Approach

Nadaraya-Watson Kernel-Weighted Average Regression In the above method, one of the major drawbacks was the equal assignment of weights. This method assigns weights to each point in a window of query point based on a specific Kernel. Main intuition is that weights should decrease with increase in distance and more weights should be assigned for … Read moreRegression: Kernel and Nearest Neighbor Approach