Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
Introduction to PCA Principal Component Analysis (PCA) is a statistical technique that simplifies the complexity in high-dimensional data while retaining trends and patterns. It does so by transforming the data into fewer dimensions, which act as summaries of features, called principal components