PCA reduces the high-dimensional interrelated data to low-dimension by linearly transforming the old variable into a.Method that used to interpret the variation in high-dimensional interrelated dataset (dataset with a large number of variables) PCA is a classical multivariate (unsupervised machine learning) non-parametric dimensionality reduction.Eigendecomposition of the covariance matrix What is Principal component analysis (PCA)?.Principal component analysis (PCA) with a target variable.What is Principal component analysis (PCA)?.Principal component analysis (PCA) and visualization using Python (Detailed guide with example)
