Dimensionality Reduction Techniques - PCA, Kernel-PCA and LDA Using Python
Summary In this article, we will be looking at some of the useful techniques on how to reduce dimensionality in our datasets. When we talk about dimensionality, we are referring to the number of columns in our dataset assuming that we are working on a tidy and a clean dataset. When we have many columns […]
2021-05-24
4,000 reads
