Coding Challenge: Importing Data
Practice importing data with scikit-learn.
Now we’ll work with a dataset containing information about a bank’s customer base, featuring the following variables:
customerID
: The customer’s unique ID.gender
: The customer’s gender.SeniorCitizen
: The customer’s senior citizen status.Partner
: The customer’s relationship status.Dependents
: The customer’s number of dependents.tenure
: The length of time (in months) that the individual has been a customer.Services that the customer has subscribed to:
PhoneService
MultipleLines
InternetService
OnlineSecurity
OnlineBackup
DeviceProtection
TechSupport
StreamingTV
StreamingMovies
Contract
: The customer’s current contract type: “Month-to-Month,” “One Year,” “Two Year.”PaperlessBilling
: The customer’s preference regarding paperless billing.PaymentMethod
: The customer’s preferred method of bank payment: bank withdrawal, credit card, mailed check.MonthlyCharges
: The customer’s current total monthly charge.TotalCharges
: The customer’s total charges.Churn
: Whether or not the customer has exited or churned (our target variable).
We’ve already seen how to load a dataset using pandas, so try loading this data, from a file called data.csv
, by replacing line 3 in the code below:
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