All courses
Resource hub
Featured resource
Tech Upskilling Playbook 2025
Tech Upskilling Playbook

Build future-ready tech teams and hit key business milestones with seven proven plays from industry leaders.

Learn more
Hamburger Icon
  • Labs icon Lab
  • AI
  • Cloud
Google Cloud Platform icon
Labs

Linear Regression Performed Using Amazon SageMaker

Imagine you are the data engineer at your company and your company just selected AWS as the preferred cloud provider. You have been asked to train an ML model using linear learner algorithm. In this lab, you will fetch the iris data and use that as the input dataset. Once the data is split, the data is uploaded to S3 bucket. Then the Sagemaker estimator is configured before initiating the training process.

Get started Contact sales
Google Cloud Platform icon
Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Last updated
Clock icon Aug 31, 2025

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

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

    Install dependencies and import the libraries

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

  3. Challenge

    Download the data and upload them to S3 bucket

    1. Convert the downloaded data to a CSV format
    2. Use the upload_file function and upload the CSV files to S3 bucket

  4. Challenge

    Set up training and validation data

    1. Create the inputs for the fit() function with the training and validation location.

  5. Challenge

    Train the model

    1. Fetch the linear learner image according to the region.
    2. Setup the estimator function.
    3. initiate the training process using the fit() function.
Pluralsight Skills - Labs - Pluralsight
Author
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.
Ready to get started?
View individual plans View team plans