In this video, we dive into Principal Component Analysis (PCA)—one of the most powerful techniques in data science and machine learning for dimensionality reduction.
PCA helps simplify complex datasets by transforming them into a smaller set of uncorrelated variables called principal components, while retaining as much information (variance) as possible.
