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Once you've studied the tutorials, you can decide on your next step with the help of the Start Page: The Learn tab links to the following additional material: Later, you can reopen the tutorials by selecting File > New Process, It's a good idea to read the introduction and take the guided tour. Step-by-step tutorials are activated the first time you open RapidMiner Studio. For one-click deployment of models, try Deployments.For automated machine learning, try Auto Model.For interactive data preparation, try Turbo Prep.It can also be used (for most purposes) in batch mode (command line mode). In a few words, RapidMiner Studio is a 'downloadable GUI for machine learning, data mining, text mining, predictive analytics and business analytics'. For help, best practices, and networking, visit the RapidMiner Community.Īlternatively, you can accelerate the learning process (and your model building) RapidMiner is now RapidMiner Studio and RapidAnalytics is now called RapidMiner Server.For a review of data science terminology, see the Getting Started Glossary.For basic data science tutorials, see the series 5 minutes with Ingo.RapidMiner-Studio.sh) are the following: Error: Could not find or load main class Unrecognized option: Error: Could not create the Java Virtual Machine. For training videos, check out RapidMiner Academy. So, the errors I got from the installation file (after doing chmod +x RapidMiner-Studio.sh and.For a hands-on introduction to the user interface, read about the Design View.The suggestions provided on the Start Page. Once you've looked at the tutorials, follow one of
#ABOUT RAPIDMINER STUDIO HOW TO#
Probably the best way to learn how to use RapidMiner Studio is the hands-on approach: