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 […]