KNN (K-nearest neighbors)

KNN (K-nearest neighbors) is a simple way computers can make predictions based on data. When given a new example, it looks at the most similar existing data points—its "nearest neighbors"—and sees what their answers are. If most of these neighbors have a certain outcome, like "cat" or "dog," the computer guesses the new example is likely the same. The number "K" determines how many neighbors it considers. It's like asking friends for advice based on what similar people have experienced. KNN is easy to understand and effective for tasks like classification and pattern recognition.