B2. Reducing Dimensions in Data with scikit-learn
Dimensionality Reduction in Linear Data:
01. Module Overview
02. The Intuition Behind Principal Components Analysis
03. Demo - Implementing Principal Component Analysis
04. Demo - Building Regression Models with Principal Components
05. Factor Analysis Using Singular Value Decomposition
06. Demo - Implementing Factor Analysis
07. Linear Discriminant Analysis for Dimensionality Reduction
08. Demo - Observing Class Seperation Boundaries on the Iris Dataset
09. Demo - Linear Discriminant Analysis for Classification
10. Summary
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