Anyone interested in Dimensionality Reduction
Time to complete:
|Welcome to this machine learning course on Dimensionality Reduction.
Dimensionality Reduction is a category of unsupervised machine learning techniques used to reduce the number of features in a dataset. Dimension reduction can also be used to group similar variables together.
In this course, you will learn the theory behind dimension reduction, and get some hands-on practice using Principal Components Analysis (PCA) and Exploratory Factor Analysis (EFA) on survey data.
The code used in this course is prepared for you in R.