Step-by-Step Guide to Understanding PCA with a Simple Example

Principal component analysis (PCA) is a mathematical tool that reduces the dimensionality of datasets. It simplifies complex datasets by identifying the most significant patterns. By focusing on the key features, PCA helps you eliminate redundant information and noise, making your data cleaner and easier to interpret.

This technique is particularly valua…