Project Concept

This project will introduce ThingWorx Analytics Builder.

Following the steps in this guide, you will create an analytical model, and then refine it based on further information from the Analytics platform.

We will teach you how to determine whether or not a model is accurate and how you can optimize both your data inputs and the model itself.

Project Info

Type Tutorial
Level Intermediate
Est. Time 60 Minutes
Published June 13, 2018
Author Jason Wyatt

You'll learn how to

    • Load an IoT dataset
    • Generate machine learning predictions
    • Evaluate the analytics output to gain insight
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Things used in this project

Environment:

Download and install Analytics Trial Edition (ATE), which includes ThingWorx Foundation, Analytics, and ThingPredictor.

Download and unzip analytics_vibration.zip, which contains the dataset for the MotorCo Scenario.

Software components:
Previous knowledge:

BUILD A PREDICTIVE ANALYTICS MODEL

Outline
  • Step 1: Set Up Analytics Builder
  • Step 2: Upload Data
  • Step 3: Signals and Profiles
  • Step 4: Create & Refine Model
  • Step 5: Next Steps