Principal Component Analysis (PCA)

Principal Component Analysis (PCA) is a very useful tool that is widely used for dimensionality reduction and data visualization. It helps in finding patterns and relationships in data by turning high dimensional input into a lower dimensional form with important information being retained. This is an all-inclusive guide to help you comprehend what PCA really …