Data Mining Parameters - Data Science

Datamining covers everything that are related with the data from collection of raw data to EDA and preparation of input to AI algorithm. We have lots of parameters for describing the data. Some of them we are going to discuss are Impurity index, Central of tendency, Eigenvalue/ Eigenvector, PCA in Classification. Abstract The impurities measurement parameter of dataset like Entropy, Gini, Classification Error aims to find the error while classifying the labels.