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Course Outline
Introduction
- Overview of RapidMiner Studio
- Orientation to RapidMiner UI and features
CRISP-DM Methodology in RapidMiner
- Understanding CRISP-DM framework
- Application in estimation and projection of values
Data Understanding and Preparation
- Data import and exploration
- Preprocessing and cleaning techniques
- Advanced data transformation methods
Data Modeling with RapidMiner
- Introduction to data modeling
- Selection and application of machine learning algorithms
- Supervised learning algorithms
- Unsupervised learning algorithms
Model Evaluation and Deployment
- Techniques for model evaluation
- Strategies for model deployment
- Model realignment and optimization
Time Series Analysis and Forecasting
- Fundamentals of time series analysis
- Application of moving average models
- Time series preprocessing and data aggregation
Advanced Time Series Techniques
- Decomposition analysis
- Projection with time windows
- Projection with feature generation
ARIMA Modeling
- Understanding ARIMA models
- Practical application in RapidMiner
Summary and Next Steps
Requirements
- Basic understanding of data analysis and machine learning concepts
Audience
- Data Analysts
- Business Analysts
- Data Scientists
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
