Tag: math.js

Building an Interactive PCA Analysis Tool: A Deep Dive into Dimensionality Reduction

Principal Component Analysis (PCA) is one of the most fundamental techniques in data science and machine learning, yet understanding its mathematical foundations can be challenging. To bridge this gap, I developed an interactive web-based tool that visualizes every step of the PCA process, making this powerful technique accessible to students, researchers, and data practitioners. The […]