Created from Youtube video: https://www.youtube.com/watch?v=rTEtEy5o3X0video

Concepts covered:K Nearest Neighbors, KNN algorithm, Python implementation, distance calculation, majority vote

The video explains how to implement the K Nearest Neighbors (KNN) algorithm from scratch in Python, detailing the process of calculating distances between data points, determining the closest neighbors, and making predictions based on the majority vote of the nearest neighbors.

chapter

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How to implement KNN from scratch with Python

Concepts covered:K Nearest Neighbors, KNN algorithm, Python implementation, distance calculation, majority vote

The video explains how to implement the K Nearest Neighbors (KNN) algorithm from scratch in Python, detailing the process of calculating distances between data points, determining the closest neighbors, and making predictions based on the majority vote of the nearest neighbors.

Question 1

What does 'k' represent in K Nearest Neighbors?

Question 2

How does KNN handle new data points for prediction?

Question 3

Why use Euclidean distance in KNN algorithm?

Question 4

How is majority determined among k neighbors in KNN?

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