Predictive Modeling with RapidMiner

The most important aspect for successful data mining projects is the representation of the business task within the data mining world. It turned out, that predictive modeling like classification and regression most often led to useful as well as reliable results. It does not matter if the data analyst wants to tackle a direct marketing problem, the problem of churn prevention or preventive maintenance: In all cases it is a predictive model which delivers the results.

This webinar will cover the most important aspect of data mining, namely the task of predictive modeling. It will discuss

• modeling with Naive Bayes
• modeling by the induction of decision trees
• modeling with neural nets
• storing and retrieving created models
• and finally the application of the created model of new and unseen data (scoring).

• Since the number of participants is limited, we recommend an early registration.
• The webinar is laid out for 90 minutes.
• The webinar will be held in English language.
• The instructors are professional data analysts with years of practical data mining experience with RapidMiner.
• The login details for the webinar will be send three working days before the webinar date. A registration is possible until 4 hours in advance at the latest.