Media Summary: Principal components analysis and the singular value de composition are are really important Why would we want to reduce the number of features ? And how do we do it ? Sorry for the sniffling, I was a bit sick while recording this) An overview of Chapter 8 of the book Hands-on
Advanced Dimensionality Reduction Techniques Part 1 Machine Learning 69 - Detailed Analysis & Overview
Principal components analysis and the singular value de composition are are really important Why would we want to reduce the number of features ? And how do we do it ? Sorry for the sniffling, I was a bit sick while recording this) An overview of Chapter 8 of the book Hands-on Brilliant 20% off: ▭▭ Papers / Resources ▭▭▭ Intro to Dim. machine learning - Dimensionality Reduction Lesson 1 Introduction Papers / Resources ▭▭▭ Colab Notebook: ...
