In this project ML techniques are used to analyse demographics data of customers of a mail-order sales company in Germany against demographics information for the general population. The goal of this project is to characterize customers segment of population, and to build a model that will be able to predict customers for “Arvato” Financial Solutions.

Demographics data for the general population of Germany. It has 891,211 persons and 366 features.

Demographics data for individuals who were targets of a marketing campaign; 42,982 persons and 366 features including response of people.

Demographics data for individuals who were targets of a marketing campaign; 42,833 persons and 366 features.