Data Science without Coding hassle: Introducing Rapidminer | Development Tools Online Course by Udemy

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Rapidminer set up and getting started with data processing.

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Data Science without Coding hassle: Introducing Rapidminer

Rapidminer, is #1 open source predictive analytics platform designed to accelerate predictive analytics in Big Data era. The processes in Rapidminer are set up as ‘Drag n Drop” nodes, thus, absolutelyno programming skills arerequired. Combined with FREE software access truly makes this a platform ideal to empower masses to participate in Data Science. Practically, any person with logical thinking and common day to day computerskills can break into the “elites” of Data Scientists!I will take you on a brief journey to introduce the Rapidminer Studio 6.3 suite anddiscuss itsadvantages over traditional data analytics platforms. Beginning with the download and setting up ofthesoftware, I will walk you through Rapidminer interface, different panels andviews available for data analytics. All along the course, as we come across, I will explain Rapidminer lingo such as variousOperators(nodes), Macros anddebugging techniquesetc. I will also show how to install additional extensions from marketplace. To take you to the applied side of the house, we will set up aprocess to read XML files, traverse xml nodes using XPath property and the macro concept. In the secondexercise, Iwill share how to do a rathercomplicated work flow to make APIcalls and manipulate the response to extract and generate desiredoutput. In the same workflow, Iwill demonstrateJSON to xml conversionand introducesome more operators(nodes) like Data to Documents, JSON to XML, Sub-process, GetPage, Get PagesandWrite document etc. By the end of the course, you will be able to: Import data fromdifferent fileformats like. csv and. xml. Manipulate the importeddataset aka example set(aRapidminer lingo).Make HTTP calls and manipulate the response to adesired format.

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