Common mistakes in PCA and how to avoid them Kumar Jeetendra | May 10, 2025 PCA (Principal Component Analysis) is one of the top algorithms used for dimensionality reduction. It has applications in data science, data-driven decision-making labs, or even in biology and chemistry and even in economics! But as helpful as PCA is, so many people struggle using it because they get stuck making basic errors that can lead …
