No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding Data

No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding Data

Assessment

Interactive Video

Information Technology (IT), Architecture, Business, Social Studies

University

Hard

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The video tutorial introduces a project on customer churn prediction using a dataset from Kaggle. It describes the dataset's columns, which include various customer metrics, and explains how to determine if a customer will leave their telco provider. The tutorial covers data preparation, including importing data from S3, and guides viewers through creating a model using SageMaker Canvas. The session concludes with a brief overview of the next steps in model building.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the model determine if a customer will churn?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in building the churn prediction model?

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