Practical Data Science with Amazon SageMaker

In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, fr

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Learning Objectives

Using Amazon SageMaker, this course teaches you how to:

  • Prepare a dataset for training.
  • Train and evaluate a machine learning model.
  • Automatically tune a machine learning model.
  • Prepare a machine learning model for production.
  • Think critically about machine learning model results

     

    Course Details

    Course Outline

    1 - Day 1
  • Business problem: Churn prediction
  • Load and display the dataset
  • Assess features and determine which Amazon SageMaker algorithm to use
  • Use Amazon Sagemaker to train, evaluate, and automatically tune the model
  • Deploy the model
  • Assess relative cost of errors
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    This course is intended for:

    A technical audience at an intermediate level

    Other Prerequisites

    We recommend that attendees of this course have the following prerequisites:

    Working knowledge of a programming languag

    We recommend that attendees of this course have the following prerequisites:

    Working knowledge of a programming language

    Practical Data Science with Amazon SageMaker

    Call
    Course Length : 1 Day

    There are currently no scheduled dates for this course. Please contact us for more information.

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