In our fast-paced world, data grows more complex each day and, by extension, more challenging to interpret. In machine learning, we use a mathematical technique called Principal Component Analysis (PCA) to simplify our data —that is, reduce features or dimensions while trying to maintain as much information as possible. https://www.nomidl.com/machine-learning/principal-component-analysis-in-machine-learning/