Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.
  • Labs icon Lab
  • A Cloud Guru
Google Cloud Platform icon

Creating a scikit-learn Random Forest Classifier in AWS SageMaker

Scikit-learn is a great place to start working with machine learning. In this lab, we will use scikit-learn to create a Random Forest Classifier to determine if you prefer cats or dogs. The data set being used is entirely made up, but could easily be swapped with one of your own!

Google Cloud Platform icon

Path Info

Clock icon Intermediate
Clock icon 1h 0m
Clock icon Jan 25, 2021

Contact sales

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

Table of Contents

  1. Challenge

    Navigate to the Jupyter Notebook

    Log in to the AWS console and navigate to the AWS SageMaker page. From there, load the Jupyter Notebook that has been provided with this hands-on lab.

  2. Challenge

    Load and Prepare the Data

    1. Load the survey data from data.csv, located beside the notebook.
    2. View the data. Look at both the raw data and statistics for the data.
    3. Change the column data types so the model can understand them.
    4. Split the data into training and testing sets. Use 80% of the data for training.
  3. Challenge

    Train the Random Forest Model

    1. Create a Random Forest Classifier model using scikit-learn.
    2. Train the model using the training data.
  4. Challenge

    Evaluate the Model

    1. Generate predictions for the testing data set.
    2. View the confusion matrix for the predictions.
    3. Calculate the sensitivity and specificity.
    4. Plot the ROC curve.
    5. Calculate the area under the curve.
  5. Challenge

    Predict for Yourself

    1. Create a survey response for yourself.
    2. Have the model predict if you prefer cats or dogs.

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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.

Start learning by doing today

View Plans