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Telco_Customer_Churn_Feature_Engineering

Business Problem

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.

Data Set Story

Telco customer churn data includes information about a fictitious telecom company that provided home phone and Internet services to 7043 California customers in the third quarter. It includes which customers have left, stayed or signed up for the service. 21 Variable 7043 Observation

  • CustomerId : Customer ID
  • Gender : Gender
  • SeniorCitizen : Whether the client is old (1, 0)
  • Partner : Whether the customer has a partner (Yes, No) ? whether to be married
  • Dependents : Whether the customer has dependents (Yes, No) (Child, mother, father, grandmother)
  • tenure : The number of months the customer has stayed with the company
  • PhoneService : Whether the customer has phone service (Yes, No)
  • MultipleLines : Whether the customer has more than one line (Yes, No, No Telephone service)
  • InternetService: Customer's internet service provider (DSL, Fiber optic, No)
  • OnlineSecurity : Whether the customer has online security (Yes, No, no Internet service)
  • OnlineBackup : Whether the customer has an online backup (Yes, No, no Internet service)
  • DeviceProtection : Whether the customer has device protection (Yes, No, no Internet service)
  • TechSupport : Whether the customer receives technical support (Yes, No, no Internet service)
  • StreamingTV : Indicates whether the customer is broadcasting TV (Yes, No, no Internet service) Indicates whether the customer uses the Internet service to stream television programs from a third-party provider
  • StreamingMovies : Whether the customer is streaming movies (Yes, No, no Internet service) Indicates whether the customer is using the Internet service to stream movies from a third-party provider
  • Contract : Contract duration of the client (Month to month, One year, Two years)
  • PaperlessBilling : Whether the customer has a paperless invoice (Yes, No)
  • PaymentMethod : Customer's payment method (Electronic check, Postal check, Bank transfer (automatic), Credit card (automatic))
  • MonthlyCharges : The amount charged monthly from the customer
  • TotalCharges : The total amount charged from the customer
  • Churn : Whether the customer uses (Yes or No) - Customers who left in the last month or quarter More Info:

Each row represents a unique customer. Variables include information about customer service, account, and demographics. Services customers sign up for - phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies. Customer account information – how long they have been a customer, contract, payment method, paperless billing, monthly fees and total fees. Demographic information about customers - gender, age range, and whether they have partners and dependents.

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