Customer Churn Prediction

File Description:

The dataset contains information about customers and their churn status. Each row represents a customer, and each column contains customer attributes and information.

Column Descriptions:

• customerID: Unique identifier for each customer.
• gender: Gender of the customer (Male, Female).
• SeniorCitizen: Whether the customer is a senior citizen or not (1: Yes, 0: No).
• Partner: Whether the customer has a partner or not (Yes, No).
• Dependents: Whether the customer has dependents or not (Yes, No).
• tenure: Number of months the customer has stayed with the company.
• PhoneService: Whether the customer has a phone service or not (Yes, No).
• MultipleLines: Whether the customer has multiple lines or not (Yes, No, No phone service).
• InternetService: Type of internet service the customer has (DSL, Fiber optic, No).
• OnlineSecurity: Whether the customer has online security or not (Yes, No, No internet service).
• OnlineBackup: Whether the customer has online backup or not (Yes, No, No internet service).
• DeviceProtection: Whether the customer has device protection or not (Yes, No, No internet service).
• TechSupport: Whether the customer has tech support or not (Yes, No, No internet service).
• StreamingTV: Whether the customer has streaming TV or not (Yes, No, No internet service).
• StreamingMovies: Whether the customer has streaming movies or not (Yes, No, No internet service).
• Contract: The contract term of the customer (Month-to-month, One year, Two year).
• PaperlessBilling: Whether the customer has paperless billing or not (Yes, No).
• PaymentMethod: The payment method of the customer (Electronic check, Mailed check, Bank transfer, Credit card).
• MonthlyCharges: The amount charged to the customer monthly.
• TotalCharges: The total amount charged to the customer.
• Churn: Whether the customer churned or not (Yes, No).