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Skill Topic ยท Cinematic

๐Ÿ“Š Naive Bayes โ€” Probability Based Classification

Aliens School โ€” AI Series #66 Hinglish mein Naive Bayes samjho! ๐Ÿš€

Overview
๐ŸŒŸ

๐Ÿ“Š Naive Bayes โ€” Probability Based Classification โ€” Quick Facts

๐Ÿ“Œ

Type: Feature Type

๐ŸŽฏ

Gaussian: Continuous (real numbers)

โšก

Multinomial: Counts/frequencies

๐Ÿ”‘

Bernoulli: Binary (0/1)

Topic 1
๐Ÿค–

๐Ÿ’ก Naive Bayes Kya Hai?

๐Ÿค– ` 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”‚ Naive Bayes = PROBABILITY basedโ€ฆ
Topic 2
๐Ÿง 

๐Ÿ“ Bayes Theorem

๐Ÿง  ` 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”‚ โ”‚ โ”‚ P(B|A) ร— P(A) โ”‚ โ”‚ P(A|B) =โ€ฆ
Topic 3
๐Ÿ”’

๐Ÿง  "Naive" Independence Assumption

๐Ÿ’ก ` NAIVE ASSUMPTION: 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”‚ Saari features ekโ€ฆ
Topic 4
โœจ

๐Ÿ“‹ Types of Naive Bayes

โšก 1. Gaussian Naive Bayes ` 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”‚ Features =โ€ฆ
Topic 5
๐Ÿ“ฅ โš™๏ธ ๐Ÿ”ฌ ๐Ÿ’ก

๐Ÿ“Š Complete Workflow

๐ŸŽฏ ` TRAINING: โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ Training โ”‚ โ†’ โ”‚ Calculateโ€ฆ
Topic 6
๐Ÿ”ฎ ๐Ÿ“Š ๐Ÿ”ฌ

๐Ÿ’ป JavaScript Example

๐Ÿ”ฎ `javascript // Simple Naive Bayes for Spam Detection class NaiveBayes { constructor() {โ€ฆ
Topic 7
๐Ÿ”’

โœ… Pros & Cons

๐ŸŒ ` 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”‚ Very FAST (training +โ€ฆ
Topic 8
๐Ÿ“Š

๐ŸŒ Real-World Applications

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”‚ โœ‰๏ธ Email Spam Filtering (Gmail usesโ€ฆ
Topic 9
๐Ÿ“ฅ ๐Ÿ“ฅ ๐Ÿง  ๐Ÿ”ฌ ๐Ÿ’ก ๐ŸŽฏ

โ“ Quiz

๐Ÿ’ก

a) Simple algorithm hai

๐Ÿ”‘

b) Features independent hainโ€ฆ

โšก

c) Accuracy low hai

๐ŸŽฏ

a) Gaussian

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 1

๐Ÿ“Š Naive Bayes โ€” Probability Based Classification ka sabse sahi definition kya hai?

Quick Quiz
๐Ÿง  QUIZ TIME

Quiz โ€” Question 2

๐Ÿ“Š Naive Bayes โ€” Probability Based Classification ka 'Gaussian' kya hai?

Complete! ๐ŸŽ‰
COMPLETE

๐Ÿ“Š Naive Bayes โ€” Probability Based Classification Complete!

Aliens School ยท HIEN ยท Cinematic Knowledge

โœ…

๐Ÿ“Š Naive Bayes โ€” Probability Based Classification Complete

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