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Rapidminer Training
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course overview
Rapidminer Training course is developed to help the student to understand the data science software platform in detail. The curriculum will walk the learner through Example set, Integration with Operations, API calls with Rapidminer, Data Mining, Predictive Analytics, Valuation Methods & Performance Criteria, and the like. Rapidminer Training online course, the online training by Mindmajix Technologies, will help the candidates to become experts in the installation of Rapidminer, setting up the Rapidminer workflow to open the XML documents, Optimization, and Parameter Tuning, Data visualization, Basic Charting, Handling Attribute Roles, etc.
By enrolling in the Rapidminer Training certification, the candidates will be provided with both theoretical and practical training on Rapidminer through lab sessions, lectures, and real-time projects. The online programme could be taken by the candidates via one of the three options of enrolment.
The highlights
- 100% online course
- Offered by Mindmajix Technologies
- FREE Demo on Request
- Flexible Schedule
- Online Live and Self-paced Training Options
- 24/7 Lifetime Support
- Life-Time Self-Paced Videos Access
- One-on-One Doubt Clearing
- Certification Oriented Curriculum
Program offerings
- One-on-one doubt clearing sessions
- Certification oriented curriculum
- Real-time project use cases
- 20 hours of labs
- Free demo on request
- 24/7 lifetime support
- 30 hours of sessions
- Online live and self-paced training options
Course and certificate fees
certificate availability
Yes
certificate providing authority
Mindmajix Technologies
Who it is for
What you will learn
Knowledge of data visualization
By the end of the Rapidminer Training online certification, the learner will understand all the gamut of concepts related to Rapidminer such as the Rapidminer Studio, PostgreSQL with Rapidminer, Neural Networks, Multi-Level Aggregation, Logistic and Linear Regression and much more.
The syllabus
Introduction to Rapidminer
Connect to PostgreSQL using Rapidminer
- Connect to PostgreSQL and fetch table data into Rapidminer Example set
- PostgreSQL with Rapidminer
Getting Started with RapidMiner Studio
- User Interface
- Operators and Processes
- Creating and Managing RapidMiner Repositories
- Loading Data
- Storing Data, Processes, and Result Sets
- Visualizing Data & Basic Charting
Predictive Modeling Algorithms
- k-Nearest Neighbor
- Naïve Bayes
- Decision Trees & Rules
- Support Vector Machines
- Logistic and Linear Regression
- Neural Networks
Advanced Data Preparation
- Multiple Sources
- Joins & Set Theory
- Understanding New Attributes
- Advanced Data ETL
- Aggregation & Multi-Level Aggregation
- Handling Attribute Roles
- Pivot & De-Pivot
- Calculated Values
- Regular Expressions
- Changing Value Types
- Feature Generation and Feature Engineering
Others
- Integration with Operations
- Data and Text Mining
- Clustering
- Predictive Analytics
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