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✅ Topic 29: Dimensionality Reduction

Course: AI Math Advanced Topic: Dimensionality Reduction Section: 4 — Statistics for AI Level:…

Topic 1
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📘 Overview

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PCA = Eigenvectors of covariance…

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SVD = X = UΣVᵀ decomposition

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Variance Explained = Kitna…

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Projection = Data ko lower-dim…

Topic 2
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🏗️ Dimensionality Reduction Architecture

💡 ` ┌──────────────────────────────────────────────────┐ │ DIMENSIONALITY REDUCTION ENGINE…
Topic 3
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🧠 Python Implementation

🎯 `python """ Dimensionality Reduction — PCA from scratch, SVD concepts, variance…
Topic 4
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❓ Quiz — 5 MCQs

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A) Number of features

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B) Projected data ki variance —…

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C) Model accuracy

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D) Training speed

Topic 5
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✅ Topic 29: Dimensionality Reduction ka sabse sahi definition kya hai?

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