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In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.

sahays.github.io/sagemaker-labs/

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MIT license
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Getting started with Amazon SageMaker

Lab 01: Setting up a Notebook instance

Lab 02: Feature engineering with XGBoost

Lab 03: Regression with Amazon SageMaker built-in algorithm XGBoost

Lab 04: Hyperparameter tuning with Amazon SageMaker

Advanced topics

Lab 05: Bring your own custom model with Amazon SageMaker

Lab 06: Debugging XGBoost Training Jobs with Amazon SageMaker Debugger

Lab 07: SageMaker Model Monitor - visualizing monitoring results

Lab 08: Autoscaling Amazon SageMaker endpoints

Bonus

Lab 02a: Feature engineering with scikit-learn

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In this Amazon SageMaker tutorial, you'll find labs for setting up a notebook instance, feature engineering with XGBoost, regression modeling, hyperparameter tuning, bring your custom model etc.

sahays.github.io/sagemaker-labs/

Topics

debugging monitoring regression xgboost feature-engineering autoscaling hyperparameter-tuning custom-model amazon-sagemaker

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