Tag Archives: Principal Component Analysis

Welcome to the Principal Component Analysis (PCA) post. I hope you have gone through all the previous posts on Machine Learning, Supervised Learning and Unsupervised Learning. Principal Component Analysis is an unsupervised learning algorithm that is used for the dimensionality reduction in machine learning. PCA is a dimensionality-reduction method that is often used to reduce the dimensionality ofContinue reading “Principal Component Analysis”