Using Principal Component Analysis (PCA) for Machine Learning

Learn how to use PCA to reduce the dimensionality of your dataset

Photo by Sam Chang on Unsplash

Very often in machine learning, you have high dimensionality datasets that have a large number of features. High dimensionality datasets pose a number of problems — the most common being overfitting, which reduces the ability to generalize beyond what…