It is desired to develop a machine learning model that can predict customers who will leave the company. You are expected to perform the necessary data analysis and feature engineering steps before developing the model.
Telco - churn data includes information about a fictitious telecom company that provided home phone and internet services to 7,073 California customers in the third quarter. It shows which customers have left, stayed or signed up for their service.
- Total Features : 21
- Total Row : 7043
- CSV File Size : 977.5 kB
| Sr. | Feature | Description |
|---|---|---|
| 1 | customerID | Customer Id |
| 2 | Gender | Whether the customer is a male or a female |
| 3 | SeniorCitizen | Whether the customer is a senior citizen or not (1, 0) |
| 4 | Partner | Whether the customer has a partner or not (Yes, No) check |
| 5 | Dependents | Whether the customer has dependents or not (Yes, No) grid_3x3 |
| 6 | Tenure | Number of months the customer has stayed with the company check |
| 7 | PhoneService | Whether the customer has a phone service or not (Yes, No) text_format |
| 8 | MultipleLines | Whether the customer has multiple lines or not (Yes, No, No phone service) text_format |
| 9 | InternetService | Customer’s internet service provider (DSL, Fiber optic, No ttext_format |
| 10 | OnlineSecurity | Whether the customer has online security or not (Yes, No, No internet service) |
| ... | ||
| ... | ||
| ... |