Understanding the KNN Classifier: Intuition, Math, and How It Works π€
Discover the fundamentals of the K-Nearest Neighbors algorithm, including its intuitive approach and mathematical principles, to improve your machine learning skills.

2MinutesPy
3.6K views β’ Dec 4, 2024

About this video
K Nearest Neighbors is one of the simplest machine learning algorithms used for regression and classification tasks. It includes a class KNeighborClassifer, which is used to classify a data point based on the majority vote of the nearest neighbors.
But how is the classification done? We'll see the intuition (working) and maths involved in the KNN Classifier.
Like this video, comment if you want more videos, and subscribe to this channel to motivate me.
Joinππ
https://discord.gg/zhGX3WHD7T
#machinelearning #datascience #knn #knearestneighbors
But how is the classification done? We'll see the intuition (working) and maths involved in the KNN Classifier.
Like this video, comment if you want more videos, and subscribe to this channel to motivate me.
Joinππ
https://discord.gg/zhGX3WHD7T
#machinelearning #datascience #knn #knearestneighbors
Tags and Topics
Browse our collection to discover more content in these categories.
Video Information
Views
3.6K
Likes
170
Duration
3:04
Published
Dec 4, 2024
User Reviews
4.6
(3) Related Trending Topics
LIVE TRENDSRelated trending topics. Click any trend to explore more videos.