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Lab - Train a model with Amazon SageMaker

Offered By: Amazon Web Services via AWS Skill Builder

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Amazon SageMaker Courses Machine Learning Courses Hyperparameter Tuning Courses XGBoost Courses

Course Description

Overview

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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


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