From the course: Learning Amazon SageMaker AI

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Solution: Train a model

Solution: Train a model

(upbeat music) - [Instructor] How did you like this challenge? Congratulations on taking another step toward optimizing dataville's traffic system. You've had the opportunity to configure your own training job and monitor the model's performance using SageMaker. Now it's time to compare your approach with mine. Don't worry if your steps don't match mine exactly. There are multiple ways to solve the same problem. I'll use a SageMaker Studio notebook via JupyterLab to train the model for this challenge, I'm in the linear-learner-training notebook. There are necessary imports at the beginning of the file. Start by importing your clean and pre-processed traffic dataset from SageMaker feature store. You'll need to replace this feature store name with yours. In cell 117, I am querying the feature store. And in cell 118, I'm storing the results of that query in a data frame. Cell 119, I am printing the data frame. Notice that there are three extra columns added by the feature store…

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