B2.2 Dimensionality Reduction in Linear Data

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