RapidMiner Training Overview
RapidMiner is an efficient open-source data science software for analyzing vast quantities of data quickly, helping users to optimize decision-making and reach their goals. It includes an integrated environment for preparing data, working with machine learning visual workflows, and creating data models.
This RapidMiner training teaches attendees how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Install and configure RapidMiner
- Prepare and visualize data with RapidMiner
- Validate machine learning models
- Mashup data and create predictive models
- Operationalize predictive analytics within a business process
- Troubleshoot and optimize RapidMiner
Prerequisites
All RapidMiner training students must have an understanding of data science concepts.
Outline
Introduction
Installing and Configuring RapidMiner
Overview of RapidMiner Studio Interface and Mechanics
Recap of the Analytical Cycle
Overview of Repository
Importing Data
Preparing Data
Modeling
Validation
Using Macros
Using Global Search
Building More Sophisticated Predictive Models
Evaluating Model Quality
Troubleshooting and Optimization
Summary and Conclusion
Training Materials
All students receive comprehensive courseware.
Courseware by NobleProg® Ltd, 2004 - 2021 All Rights Reserved.
Software Requirements
- The latest version of RapidMiner
- Internet connection and a modern browser
