Build a Predictive Analytics Model
Generate predictions and gain insight into your data with machine learning.
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 | October 17, 2018 |
| Author | Jason Wyatt |
You'll learn how to
- Load an IoT dataset
- Generate machine learning predictions
- Evaluate the analytics output to gain insight
Things used in this project
Environment:
This guide may be completed in any environment in which you have access to both ThingWorx Foundation and Analytics.
This includes both the 30-day hosted evaluation server, as well as a combination of both the 120-day Foundation and Analytics downloadable, self-hosted trials.
Software components:
ThingWorx Foundation
Previous knowledge:
BUILD A PREDICTIVE ANALYTICS MODEL
Outline
- Step 1: Scenario
- Step 2: Settings
- Step 3: Upload Data
- Step 4: Signals
- Step 5: Profiles
- Step 6: Create Model
- Step 7: Refine Model
- Step 8: Next Steps