RapidMiner for Machine Learning and Predictive Analytics
Corso
A Milano
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Descrizione
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Tipologia
Corso
-
Luogo
Milano
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.
Sedi e date
Luogo
Inizio del corso
Inizio del corso
Profilo del corso
An understanding of data science concepts
Opinioni
Materie
- E-learning
Programma
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
Hai bisogno di un coach per la formazione?
Ti aiuterà a confrontare vari corsi e trovare l'offerta formativa più conveniente.
RapidMiner for Machine Learning and Predictive Analytics