So far, we have not talked about the day-to-day marketing activity of the bank. Now, we have finally come to look at how marketing prospects are determined. Even though each customer is unique, they are still handled by algorithms in the same way.
In this example, you will assume the role of a data scientist tasked with the marketing of a term deposit product. We are going to train the model to predict the marketing campaign for the term deposit. Data pertaining to the bank's internal data regarding customers and their previous responses to the campaign is obtained from the Center for Machine Learning and Intelligent Systems (https://archive.ics.uci.edu/ml/datasets/bank+marketing), the Bren School of Information and Computer Science, and the University of California, Irvine. Survey information about personal wealth is obtained from the US Census Bureau (https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-income...
