You must complete a series of tasks within the allocated time period. Instead of following step-by-step instructions, you'll be given a scenario and a set of tasks; you figure out how to complete it on your own! An automated scoring system (shown on this page) will provide feedback on whether you have completed your tasks correctly.

To score 100%, you must complete all tasks within the time period!

When you take a Challenge Lab, you will not be taught Google Cloud concepts. To build the solution to the challenge presents, use skills learned from the labs in the quest this challenge lab is part of. You will be expected to extend your learned skills; you will be expected to change default values, but new concepts will not be introduced.

Topics tested:

This lab is recommended for students who have enrolled in the Explore Machine Learning Models with Explainable AI quest. Are you ready for the challenge?

Challenge scenario

You are a curious coder who wants to explore biases in public datasets using the What-If Tool. You decide to pull some mortgage data to train a couple of machine learning models to predict whether an applicant will be granted a loan. You specifically want to investigate how the two models perform when they are trained on different proportions of males and females in the datasets, and visualize their differences in the What-If Tool.

You are expected to have the skills and knowledge for these tasks, so don’t expect step-by-step guides.

Start a JupyterLab Notebook instance

  1. In the Cloud Console, in the Search bar, type in Notebook.
  2. Select Notebook for AI Platform.

https://cdn.qwiklabs.com/LmJmoKSdFBu7tnPtVEuWoJY0qOf3zuTBVo6QE%2FEdMDw%3D

  1. On the Notebook instances page, click New Instance.

  2. In the Customize instance menu, select the latest version of TensorFlow without GPUs.

  3. In the New notebook instance dialog, accept the default options and click Create.