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Comparing Machine Learning Algorithms on a Single Dataset using Amazon SageMaker

Imagine you are the data engineer, and you have been assigned the task of finding an optimal ML algorithm by comparing multiple algorithms. This lab will take the California housing dataset and predict the median housing value. In this hands-on lab, you will learn how to train multiple regression algorithms, predict for test data and compare core regression metrics.

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 45m
Last updated
Clock icon Sep 03, 2025

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Table of Contents

  1. Challenge

    Launch SageMaker Notebook

    1. Log in to the AWS console and navigate to AWS SageMaker.
    2. Load the Jupyter Notebook that has been provided with this hands-on lab.

  2. Challenge

    Load Libraries and Fetch the Data

    1. Load required libraries.
    2. Fetch the dataset from sklearn library.

  3. Challenge

    Train the Model with Multiple Algorithms

    1. Create an instance of three algorithms that will be compared.
    2. Train the algorithms individually.

  4. Challenge

    Predict and Compare

    1. Run predictions against test data.
    2. Compare key metrics of the three algorithms.
Pluralsight Skills - Labs - Pluralsight
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Pluralsight Skills

Pluralsight Skills gives leaders confidence they have the skills needed to execute technology strategy. Technology teams can benchmark expertise across roles, speed up release cycles and build reliable, secure products. By leveraging our expert content, skill assessments and one-of-a-kind analytics, keep up with the pace of change, put the right people on the right projects and boost productivity. It's the most effective path to developing tech skills at scale.

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.
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