Using Python with RapidMiner

Just a quick note, I recently recorded a new video on how to use Python with RapidMiner Studio. This was part of the “Everyday Data Science with Tom Ott” series and you can check out more of my RapidMiner videos here.

Using Python with RapidMiner

In this video I show you how to use the Twython package and RapidMiner’s Text Mining extension to load Twitter tweets, text process them, and post a retweet based on your text processed data!

Update: This video and process was made prior to the introduction of the native Twitter operators, but the original strategy remains.

Update2: As of late 2017, this video is no longer available on RapidMiner’s YouTube channel. I do not have access to the video BUT I do have the sample process.  Just replace the app_key, app_secrete, oauth_token, and oauth_secrete with your own keys.


Rapidminer 5.0 Video Tutorial 6 – Creating a Decision Tree with Rapidminer 5.0

Calling all marketers!  In this video we discuss how we can use build a decision tree with RapidMiner to help us find sweet spots” in a particular market segment.  This video tutorial uses the RapidMiner direct mail marketing data generator and a split validation operator to build the decision tree.

Note: This video was made using RapidMiner 5.o but it’s still applicable with the current versions. The only thing that has changed is how the GUI looks, it has a more modern feel now.

Introduction To RapidMiner

After a very long hiatus I present to you my introduction to Rapidminer tutorial. This video is for RapidMiner version 5.0, and it’s just a quick 10 min introduction to the GUI and data import functions. You’re gonna like the way it looks!

PS: My Youtube Channel is here: Neuralmarkettrends1

PPS: For those who want to follow along, see the original GE.xls file.