customer-churn

Datasets

Select only one of the following datasets for your group and solve the problem for this company described for a particular dataset below. Dataset for Churn Customer churn or customer attrition means the loss of customers for a company. The problem for customer churn is that the company would like to know in advance which customers would churn in near future. You are a member of a team of data scientists and the task of your team is to help this company in characterizing customer churn through data analytics methods. This dataset has 21 attributes including a binary class attribute about churn. The descriptions of the attributes are given below:

1. State: Customer’s state.
2. Account Length: Integer number showing the duration of activity for customer account.
3. Area Code: Area code of customer.
4. Phone Number: Phone number of customer.
5. Inter Plan: Binary indicator showing whether the customer has international calling plan.
6. VoiceMail Plan: Indicator of voice mail plan.
7. No of Vmail Mesgs: The number of voicemail messages.
8. Total Day Min: The number of minutes the customer used the service during day time (continuous quantitative data type).
9. Total Day Calls: Discrete attribute indicating the total number of calls during day time.
10. Total Day Charge: Charges for using the service during day time (continuous data type).
11. Total Evening Min: The number of minutes the customer used the service during evening time.
12. Total Evening Calls: The number of calls during evening time.
13. Total Evening Charge: Charges for using the service during evening time.
14. Total Night Min: Number of minutes the customer used the service during night time.
15. Total Night Calls: The number of calls during night time.
16. Total Night Charge: Charges for using the service during night time.
17. Total Int Min: Number of minutes the customer used the service to make international calls.
18. Total Int Calls: The number of international calls.
19. Total Int Charge: Charges for international calls.
20. No of Calls Customer Service: The number of calls to customer support service.
21. Churn: Class attribute with binary values (True for churn and False for not churn).