Principal Component Analysis Explained Simply
Principal Component Analysis, or PCA, is one of the most widely used statistical techniques in data science and machine learning. It serves as a foundational method for reducing the complexity of large datasets while retaining as much information as possible. In many real-world applications, data collected from different sources often contains dozens, hundreds, or even […]
Continue Reading