Principal Components Analysis (ML-01)
The course delves into a critical aspect of machine learning – Principal Component Analysis (PCA).
Overview
The course delves into a critical aspect of machine learning – Principal Component Analysis (PCA). Gain a deeper understanding of PCA and Factor Analysis in a simple and easy-to-understand manner. You will learn how to conduct principal component analysis and factor analysis using R.
What You Will Learn!
– Brief Overview of Machine Learnng
– Linear Algebra
– PCA: Fundamental Concepts
– PCA: Theory
– Examples and Applications