No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building the Model - Project 3 - Customer Churn Prediction

The video tutorial guides viewers through selecting a trained data set and target column for churn prediction. It covers building and previewing a model, highlighting the importance of feature selection and model accuracy. The concept of a model recipe is introduced, explaining how column operations affect the model. Finally, the tutorial discusses rebuilding the model and preparing for predictions.

What steps are involved in selecting the target column for the model?

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What is the estimated accuracy of the model mentioned in the text?

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How does the model determine feature importance?

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What happens if certain columns are removed from the model?

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What is the significance of the model recipe in the context of model building?

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