RapidMiner for Machine Learning and Predictive Analytics Training Course

Course Code

rapidminer

Duration

14 hours (usually 2 days including breaks)

Requirements

  • An understanding of data science concepts

Overview

RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. 

In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment. 

By the end of this training, participants will be able to:

  • 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

Audience

  • Data scientists
  • Engineers
  • Developers

Format of the Course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.

Course 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

Buidling More Sophisticated Predictive Models

Evaluating Model Quality

Troubleshooting and Optimization

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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