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Lec-7: kNN Classification with Real Life Example | Movie Imdb Example | Supervised Learning
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00:00 – introduction
00:56 – classification
02:25 – example
04:39 – calculation
K-Nearest Neighbors (KNN) is a simple, non-parametric, and instance-based learning algorithm used for classification and regression. In the context of classification, KNN classifies a data point based on the majority class of its k-nearest neighbors.
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#classification #machinelearning #ai
00:56 – classification
02:25 – example
04:39 – calculation
K-Nearest Neighbors (KNN) is a simple, non-parametric, and instance-based learning algorithm used for classification and regression. In the context of classification, KNN classifies a data point based on the majority class of its k-nearest neighbors.
Subject-wise playlist Links:
--------------------------------------------------------------------------------------------------------------------------------------
► Operating System :
►Database Management System:
► Theory of Computation
►Data Structure :
►Computer Networks (Complete Playlist):
►Computer Architecture (Complete Playlist):
►Structured Query Language (SQL):
►Discrete Mathematics:
►Artificial Intelligence (Complete Playlist):
►Compiler Design:
►Number System:
►Cloud Computing & BIG Data:
►Software Engineering:
►Design and Analysis of algorithms (DAA) (Complete Playlist):
►Graph Theory:
►Programming in C:
►Digital Logic:
---------------------------------------------------------------------------------------------------------------------------------------
Our social media Links:
--------------------------------------------------------------------------------------------------------------------------------------
►For Any Query, Suggestion or notes contribution:
#classification #machinelearning #ai
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