San Francisco, California
London, United Kingdom
Intermediate Data Mining and Predictive Analytics with RapidMiner
Wednesday, May 15th and Thursday, May 16th from 8:30 am to 5 pm
A light breakfast, lunch and afternoon snacks will be provided.
Be sure to check out our Advanced Text and Web Mining Techniques with RapidMiner and RapidAnalytics course being held in the same location May 13 and 14. Register for both at the same time to get a special discount.
Class size for this event is limited to 12 students. If the class is sold out and you wish to be added to a waiting list, contact the event organizer.
This training course is a compact two day introduction into additional possibilities of performing data mining and business analytics with the software RapidMiner and the data analysis server RapidAnalytics. After this training course the participants will have a complete understanding of how Rapid-I software works and is used. The participants will be able to prepare data and create predictive models in standard data environments typically found within most analyst positions as well as in many more uncommon environments. Due to a high number of practical exercises, the participants will be able to transfer the gained knowledge to own data mining problems and solve them quickly and easily.
After the training course the participants will have the ability to:
- perform the most necessary and common data preparations
- build sophisticated predictive models
- evaluate the model’s quality with respect to different criteria
- deploy data mining models
- Target audience: users, analysts, developers, administrators
- Previous knowledge: basic knowledge of computer programs and mathematics
- Methods: lectures, discussions, individual and group work, exercises on realistic data.
Participants may introduce their own work and project specific questions in order to find particular solutions together with the trainer and other participants. The training course addresses beginners and intermediate learners.
- Data Preparation
- Changing value types by discretization and dichotimization
- Balancing data
- Detection and removal of outliers
- Dimensionality reduction
- Predictive Models
- Neural Networks
- Logistic Regression
- Meta Learning: Bagging and Boosting
- Model Evaluation
- Advanced performance criteria
- Comparison between models
- Significance tests
- Validation of preprocessing and preprocessing models
- Scaling confidences
- Filter uncertain predictions
- Sharing data, models, and processes
- Exporting processes as web service
- Basics of report creation
- Managing processes and services
You must bring a laptop to class (Windows, Mac or Linux OS is fine). Should have Java Runtime Environment (JRE) version 1.6 (officially Java 6.0) or later installed. Students will be provided with links to install the Community Version of RapidMiner prior to the class.
Marius Helf is an experienced project engineer and project consultant. Marius has been using Rapid-I's software for many years developing analytics solutions for clients.
Training Facility Logistics
The training will be held in northern Dallas in the Inwood area at the MicroTek facilty. The facility is located near the intersection of Hwy I-635 and the Dalls North Tollway. Check their website for directions, nearby hotel and other information.
Classes require a minimum of 3 students by May 8 to be held. If there are insufficient registrants, the class may be cancelled and all students will be refunded the full registration fee. Students should organize their travel arrangements accordingly and with this proviso. Rapid-I will promptly notify registered users as soon as the 3 students quota will be met.
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Our Refund Policy: Plans change? We get it. But if you can't make it to the class, please email us at firstname.lastname@example.org no later than May 6. No refunds will be given after this timeframe.
When & Where
RapidMiner offers a variety of ways to learn and develop your skills with the RapidMiner product suite. Our training courses are the most efficient and effective way for data analysts, data scientists, and administrators to get started with RapidMiner. They are also the perfect preparation for our , which can qualify you as a Certified RapidMiner Analyst and Certified RapidMiner Expert.