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day17-pca's Introduction

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Pre-Reading List

  1. Principal_component_analysis
  2. Dimensionality_reduction
  3. curse of dimensionality

Learning Objectives

  1. Understand the Curse of Dimensionality
  2. Understand Projection
  3. Understand Principal Component Analysis
  4. Understand Orthogonal Transformation
  5. Learn how to PCA works
  6. Learn how to perform PCA using sklearn
  7. Understand TruncatedSVD
  8. Learn Dimensionality Reduction using Iris Dataset

Slides

@gslides

Post-Reading List

  1. decomposition
  2. Hierarchical_clustering

day17-pca's People

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