Machine Learning, Data Science, Business, Science, Technology.
process of PCA. PCA : Fig 1.0 Suppose we have X independent features shown in the image at the left. These have 8 number of columns, where it has variables with collinearity. Represented as X1, X2, X3, X4, X5 etc…. So through PCA, we will extract a new feature variable called Z, which has the PCA