The principal component analysis is a statistical method that allows you to summarise information into smaller sets that may be displayed and studied more readily. Large datasets are becoming more prevalent, yet they might be challenging to analyze. PCA is a technique for decreasing the dimensionality of datasets while enhancing interpretability and avoiding information loss.Read More