Principal Component Analysis Webinar Video: Dimensionality Reduction Made Easy!

BigML has brought Principal Component Analysis (PCA) to the platform. PCA is a key unsupervised Machine Learning technique used to transform a given dataset in order to yield uncorrelated features and reduce dimensionality. PCA fundamentally transforms a dataset defined by possibly correlated variables into a set of uncorrelated variables, called principal components. When used for […]