11_ml_dimensionality_reduction

Machine learning: dimensionality reduction

By Gianluca Campanella ([email protected])

Objectives

By the end of the session, you should be able to:

• Describe the main differences between regression and dimensionality reduction
• Define the outputs of a Principal Component Analysis
• Use scikit-learn to perform PCA and PLS

Plan

The session is designed to be delivered over three hours (including breaks).

Topic	Time
Introduction to dimensionality reduction	60 minutes
Dimensionality reduction using scikit-learn	90 minutes

Materials

• Introduction to dimensionality reduction
• Dimensionality reduction using scikit-learn

Additional resources

• Principal Component Analysis Explained Visually
• Everything you did and didn't know about PCA