What is PCA?

PCA stands for Principal Component Analysis. It is a commonly used technique in machine learning and data analysis for reducing the dimensionality of a dataset while preserving as much of the variance in the data as possible. In simple terms, PCA helps to identify patterns and relationships in a dataset by transforming the data into a new coordinate system, where each new dimension (called a pri..

2023.03.07