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churn-prediction

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by PUMedu - opened Aug 28, 2023

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@@ -15,7 +15,9 @@ The data set includes information about:
 - Customer account information: how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges
 - Demographic info about customers: gender, age range, and if they have partners and dependents
 Credits for the dataset and the card:
 - [Kaggle](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
 - [Latest version of the dataset by IBM Samples team](https://community.ibm.com/community/user/businessanalytics/blogs/steven-macko/2019/07/11/telco-customer-churn-1113)

 - Customer account information: how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges
 - Demographic info about customers: gender, age range, and if they have partners and dependents
+from datasets import load_dataset
+dataset = load_dataset("scikit-learn/churn-prediction")
 Credits for the dataset and the card:
 - [Kaggle](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
 - [Latest version of the dataset by IBM Samples team](https://community.ibm.com/community/user/businessanalytics/blogs/steven-macko/2019/07/11/telco-customer-churn-1113)