No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Building and Using the Model for Prediction - Project 1 - B

The video tutorial guides users through creating a model using Amazon SageMaker Canvas. It covers selecting and preparing datasets, choosing target columns, and configuring model columns. The tutorial explains the options for building models, including quick and standard builds, and demonstrates how to preview and analyze model accuracy using various metrics. The session concludes with a brief overview of the next steps in using test data for predictions.

What is the first step in creating a model in Sage Maker Canvas?

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How do you select the target column for prediction?

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What happens if you choose a column that is not relevant to the prediction?

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What are the two options available for building a model in Sage Maker Canvas?

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What is the estimated accuracy of the model after a quick build?

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What is the significance of the column impact scores in the model?

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What steps are taken to predict using the test data set?

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