What is PCA in machine learning
PCA in machine learning-Principal Component Analysis (PCA) is a fundamental technique in machine learning and statistics used for dimensionality reduction and data visualization. This comprehensive guide explores the principles, applications, benefits, and FAQs related to PCA, providing a thorough understanding of its role in data analysis. Introduction to Principal Component Analysis (PCA) PCA is a … Read more