4 Car Insurance Calls

In this exercise, we will build a prescriptive model using car insurance sales data. The data set is available on Kaggle from this link: https://www.kaggle.com/kondla/carinsurance

The original objective for this data set as described on Kaggle was this:

We are looking at cold call results. Turns out, same salespeople called existing insurance customers up and tried to sell car insurance. What you have are details about the called customers. Their age, job, marital status, whether the have home insurance, a car loan, etc. As I said, super simple.

What I would love to see is some of you applying some crazy XGBoost classifiers, which we can square off against some logistic regressions. It would be curious to see what comes out on top. Thank you for your time, I hope you enjoy using the data set.

I have changed this predictive objective and converted this into a marketing prescriptive problem.