Machine Learning | K-Nearest Neighbor (KNN)

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KNN (K — Nearest Neighbors) is one of many (supervised learning) algorithms used in data mining and machine learning, it’s a classifier algorithm where the learning is based on “how similar” is a data (a vector) from other.

#machinelearning #KNearestNeighbours

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7:26 any one want a snapshot for revision!

dhanushraju
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How to draw decision boundary for 1 NN for two class points, plz explain

sheshsahu
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Taylor Matthew Walker Angela Gonzalez Amy

AndresThornton-wk
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Are you explain about the knn is good❤

deepforewer
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short and simple language explaination..great going

bharatikulkarni
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great video, got my concepts cleared

akshitasrivastava
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what is mode of k values is not a single number, means, if there is tie, even after choosing odd value of K .

SurajSingh-luei
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Nice iteration of the Algorithm with short words

ashapatil
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I am unablbeto download the notes
Please suggest to proceed

jsiva
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what will be answer if value of K=2, and we have one blue and one black near point, then which point we will choose?

pujanprajaprati
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Advantages, disadvantages, application?

piyushborkar
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thank you sir, your video helps me to understand the concept of K-NN

amrutagade
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I have exam next week I have some topics can u explain those?

tharundivvela
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knn superwise nahi unsuperwise algoritms hai

moshubhanbtech