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Lab-4 Watson Studio SPSS Modeler Lab

Introduction:

In this lab, you will use the Watson SPSS Modeler capability to explore, prepare, and model the trafficking data. The SPSS Modeler is a drag and drop capability to build machine learning pipelines.

Objectives:

Upon completing the lab, you will:

  1. Become familiar with the Watson Studio SPSS Modeler capability
  2. Load the trafficking data into SPSS Modeler
  3. Join the datasets
  4. Profile the trafficking data
  5. Prepare the trafficking data
  6. Train/Evaluate a machine learning model.
  7. Save the model.

Instructions:

Step 1. Please click on the link below to download the instructions to your machine.

Instructions.