Technical scripting test with R and Python.
The goal of the test is to create a machine learning model in order to predict future churn of customers in a telecom company.
We are provided with a data set telco.csv that contains informations about customers.
We begin by doing some descriptive statistics.
Then we benchmark through AUC metric two algorithms:
- Logistic Regression
- Random Forests