What Is Principal Component Analysis and Why Does It Matter for Machine Learning

Principal Component Analysis helps you simplify complex datasets by transforming many variables into just a few important ones. This makes your data easier to understand and speeds up machine learning models. For example, if you start with 784 features in an image dataset, you can use just 100 principal components to keep most of the important informati…