Скачать или смотреть How to Build a Simple K-Nearest Neighbors (KNN) Classification Model with 3 Features and 2 Classe...

In this video, we'll explore the basics of a simple classification model known as the K-Nearest Neighbors (KNN) algorithm. This model works by finding the most similar data points to a new, unseen example and predicting its class based on the majority vote. We'll break down the theory and math behind KNN, making it easy to understand for beginners.

In this video, you'll learn:
How to calculate the distance between two data points using the Euclidean distance formula
How to find the k-nearest neighbors to a given data point
How to predict the class of a new data point based on the majority vote of its neighbors

Perfect for students studying Machine Learning and Data Science.

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