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Skill Topic ยท Cinematic

๐Ÿ‘ฅ KNN โ€” K-Nearest Neighbors (Padosi Dekho, Predict Karo!)

Aliens School โ€” AI Series #64 Hinglish mein KNN samjho! ๐Ÿš€

Overview
๐ŸŒŸ

๐Ÿ‘ฅ KNN โ€” K-Nearest Neighbors (Padosi Dekho, Predict Karo!) โ€” Quick Facts

๐Ÿ“Œ

Distance: Formula

๐ŸŽฏ

Euclidean: โˆšฮฃ(xแตข-yแตข)ยฒ

โšก

Manhattan: ฮฃ

๐Ÿ”‘

Minkowski: (ฮฃ

Topic 1
๐Ÿ“š

๐Ÿ’ก KNN Kya Hai?

๐Ÿ“š ` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ KNN = K-Nearest Neighbors โ”‚ โ”‚ โ”‚ โ”‚โ€ฆ
Topic 2
๐Ÿ“ฅ โš™๏ธ ๐Ÿ”ฌ ๐Ÿ’ก

๐ŸŽฏ How KNN Works

๐Ÿ’ก ` K = 3: 3 nearest neighbors dekho โ— = Class A (Apple) โ–  = Class B (Orange) โ˜… = New pointโ€ฆ
Topic 3
๐Ÿ”’

๐Ÿ“ Distance Calculate Karna

๐ŸŽฏ Euclidean Distance (sabse common) ` Point A = (xโ‚, yโ‚) Point B = (xโ‚‚, yโ‚‚) Distance =โ€ฆ
Topic 4
๐Ÿ“ฅ โš™๏ธ ๐Ÿ”ฌ ๐Ÿ’ก

๐Ÿ”ข K Ka Value Kaise Choose Karein?

โญ ` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ K TOO SMALL (K=1): โ”‚ โ”‚ โ†’ Noisy dataโ€ฆ
Topic 5
โœจ

๐Ÿ“Š Classification vs Regression

๐Ÿ”‘ ` CLASSIFICATION (K=3): Neighbors: Apple, Apple, Orange Answer: Apple! ๐ŸŽ (majority vote)โ€ฆ
Topic 6
โœจ

โš ๏ธ Feature Scaling โ€” MUST!

โœจ ` โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ WITHOUT SCALING: โ”‚ โ”‚ Age: 25, 30โ€ฆ
Topic 7
๐Ÿ”’

โœ… Pros & Cons

๐ŸŒŸ ` โœ… ADVANTAGES: โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ Simple to understand โ”‚โ€ฆ
Topic 8
๐Ÿš€

๐Ÿ’ป JavaScript Example

๐Ÿš€ `javascript // KNN Implementation function euclideanDistance(a, b) { let sum = 0; forโ€ฆ
Topic 9
๐Ÿ“š

โ“ Quiz

๐Ÿ’ก

a) Number of features

๐Ÿ”‘

b) Number of nearest neighbors toโ€ฆ

โšก

c) Number of classes

๐ŸŽฏ

a) GPU

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 1

๐Ÿ‘ฅ KNN โ€” K-Nearest Neighbors (Padosi Dekho, Predict Karo!) ka sabse sahi definition kya hai?

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 2

๐Ÿ‘ฅ KNN โ€” K-Nearest Neighbors (Padosi Dekho, Predict Karo!) ka 'Euclidean' kya hai?

Complete! ๐ŸŽ‰
COMPLETE

๐Ÿ‘ฅ KNN โ€” K-Nearest Neighbors (Padosi Dekho, Predict Karo!) Complete!

Aliens School ยท HIEN ยท Cinematic Knowledge

โœ…

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