Machine Learning Tutorial - Types of Machine Learning

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๐Ÿ“š ML Ke Types

๐ŸŒŸ 3 Main Types:

๐Ÿ‘จโ€๐Ÿซ Supervised = Teacher ke saath (with answers)
๐Ÿงฉ Unsupervised = Khud discover karo (no answers)
๐ŸŽฎ Reinforcement = Trial & error (rewards)

1. Supervised Learning

Analogy: Textbook problems - Answer sheet hai

Examples:

  • ๐Ÿ“ง Spam vs Not Spam (labeled emails)
  • ๐Ÿ  House Price Prediction (past prices given)
  • ๐Ÿฉบ Disease Diagnosis (patient history + results)

2. Unsupervised Learning

Analogy: Library books khud organize karo

Examples:

  • ๐Ÿ‘ฅ Customer Segmentation (groups banao)
  • ๐Ÿ“ฐ News Clustering (similar articles group)
  • ๐Ÿ›’ Market Basket Analysis (items together)

3. Reinforcement Learning

Analogy: Video game - try, fail, learn, improve

Examples:

  • ๐ŸŽฎ Game AI (AlphaGo, Chess)
  • ๐Ÿš— Self-Driving Cars
  • ๐Ÿฆพ Robot Control

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Example

# Supervised
X = [[1], [2], [3]]  # Input
y = [2, 4, 6]        # Output (labels)