Chapter 5
Building Recommender Systems
Section 2
Extracting the Nearest Neighbors
Nearest neighbors refers to the process of finding the closest points to the input point from the given dataset. This is frequently used to build classification systems that classify a datapoint based on the proximity of the input data point to various classes. - Define sample 2D datapoints - Define a test datapoint that will be used to extract the K nearest neighbors - Create and train a K Nearest Neighbors model using the input data