RapidMiner Master
Who Should Attend?
DATA SCIENTIST & BIG DATA TEAM attended RapidMiner Professional

This training is a combinations of 2 courses that make up the RapidMiner Master set:
- Data Engineering Master
- Machine Learning Master
Data Engineering Master
- Build robust processes
- Perform the most common data cleansing techniques
- Process text data for data mining
- Access web-based data
- Use databases and Hadoop
- Leverage scripts
Machine Learning Master
- Cross Validation
- Parameter Optimization
- Ensemble Models for Supervised Learning
- SVMs and Deep Learning
- Model Selection
- Feature Engineering
- Time Series
- Integrate R and Python Models
Data Engineering Master
- Access Data
- Basic Data Preparation
- Build Programmatic Processes
- Machine Learning & Validation
- Advanced Cleansing Techniques
- Scripts
- Databases & Radoop
- Text & Web
Machine Learning Master
- Validation & Performance
- Feature Engineering
- Parameter Optimization
- Model Selection & Scoring
- Supervised Learning
- Time Series
- Python and R Integration
Register Now
Drop us your entry if you are interested to join this course.
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