Lab - Train a model with Amazon SageMaker

In this lab, you will configure and train a model based on SageMaker’s built-in XGBoost, then you will evaluate the prediction efficiency of the model.

Objectives

• Train a model using built-in SageMaker Algorithms.
• Explore writing custom training and inference code while still using common ML frameworks maintained by AWS.
• Import custom libraries and dependencies to train your model.
• Setup a Hyperparameter Tuning Job in SageMaker.

Prerequisites

• Basic navigation of the AWS Management Console.
• An understanding of database concepts, MySQL, and database availability.

Objectives

Task 1: Train a model using a built-in algorithm

Task 2: Train a model using a custom script in script-mode