AWS SageMaker Tutorial: Scikit-Learn vs. Managed XGBoost Training Jobs
In this hands-on tutorial, we dive deep into Amazon SageMaker to demonstrate how data scientists can scale their experiments using the cloud. We compare a local notebook execution using Scikit-learn against a fully managed SageMaker training job using the built-in XGBoost container.
What we cover in this video:
✅ Launching a SageMaker Notebook Instance: Setting up instance types (ML.T2.xlarge) and configuring IAM Roles for S3 access.
✅ Demo 1: Scikit-Learn on the Iris Dataset: Running a typical train-evaluate-save flow entirely within the notebook runtime.
✅ Demo 2: Managed XGBoost Training: U…
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