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Ciência de Dados com RapidMiner - Aprenda a Teoria

• Instalation and License recap
• Introduction
• Basics of AI, Data Science and Machine Learning
• Data Understanding and Data Preparation
• Model Selection, Evaluation and Validation
• Deployment

Ciência de Dados com RapidMiner - Aplique na Prática

• Organizing the Workspace and Starting a Process
• Importing a .csv file
• Data Preparation and Exploration
• Auto ML Models and Evaluation
• Optimization and Validation
• Deployment

We offer free access to micro-modular learning content through our academy catalog. The catalog contains the general topics, "Applications & Use Cases", "Machine Learning", "Data Engineering", and "Administration and Deployment". All courses are designed with our users' role-based learning requirements in mind.

• Get Started with RapidMiner and Machine Learning
• Data Science Professional with RapidMiner
• Data Science Master with RapidMiner
• Machine Learning with RapidMiner
• Data Engineering with RapidMiner
  
  
  

To augment your teaching and learning, consider using one of the many textbooks involving Altair RapidMiner:

• RapidMiner - Data Mining Use Cases and Business Analytics Applications
• Analytics and Data Science - Advances in Research and Pedagogy
• Predictive Analytics and Data Mining - Concepts and Practice with RapidMiner
• Data Science - Concepts and Practice
• Principles and Theories of Data Mining with RapidMiner
• Text Mining and Visualization - Case Studies Using Open-Source Tools
• Machine Learning for Business Analytics - Concepts, Techniques, and Applications in RapidMiner
• Data Mining for the Masses, Third Edition: With Implementations in RapidMiner and R