We aim to accomplist the following for this study:
Identify and visualize which factors contribute to customer churn:
Build a prediction model that will perform the following:
Classify if a customer is going to churn or not Preferably and based on model performance, choose a model that will attach a probability to the churn to make it easier for customer service to target low hanging fruits in their efforts to prevent churn
In this section we will seek to explore the structure of our data:
To understand the input space the data set And to prepare the sets for exploratory and prediction tasks as described in section 1