Two of the columns are label and earnings (indicated by red boxes below) and you want to aggregate the data into a 2×2 table as shown: Question: You have an input table with direct mailing transactions. Which type of join will produce the desired result? (Select ANY correct answer) Question: You have two ExampleSets and wish to join them into one ExampleSet as shown below: use the Generate Attributes operator and the concat function.use the Generate Concatenation operator.use the Reorder Attributes and the Generate Aggregation operator.Pick any valid way to accomplish this task (Select ANY correct answer) You now want to create a new attribute called “Full Name” which will look like this: You have a data set containing first and last names like this: to ascertain the quality of the text prior to modeling.to identify common topics from the entire corpus.to transform a text attribute into multiple numerical attributes for future modeling.What is the function of the Process Documents operator with TF-IDF vectors selected? (Select one) none of the above methods are able to create this new attribute in RapidMiner Studio.use the Date to Numerical operator, subtract the number of milliseconds in one week, and then use the Numerical to Date operator.use the Generate Attributes operator with the function ‘ date_add(date,-1,DATE_UNIT_WEEK) ‘.use the Adjust Date operator with adjustment=-7 and date unit=Day.You can open the Start Page at any time by selecting File > New Process.Which of the following are valid methods to create this new attribute in RapidMiner Studio? (Select ANY correct answer) If you want to do it yourself, create a new (blank) process from scratch in the Design View.If you want to see more examples, choose from one of the templates in the Samples Repository.If you want additional guidance, or you want to accelerate your data preparation and model building, try Turbo Prep, RapidMiner's tool for interactive data preparation, and Auto Model, RapidMiner's solution for automated machine learning.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.For help, best practices, and networking, visit the RapidMiner Community.Īlternatively, you can accelerate the learning process (and your model building).For a review of data science terminology, see the Getting Started Glossary. For basic data science tutorials, see the series 5 minutes with Ingo.For training videos, check out RapidMiner Academy.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 Probably the best way to learn how to use RapidMiner Studio is the hands-on approach:
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