This track of RapidMiner Tutorials (videos) introduces you to RapidMiner's Studio and platform, while also explaining many important data science concepts.
| General |
Data access and preparation |
Machine Learning |
Deployment and scaling |
- RapidMiner Studio - GUI Intro
- Visualizing Data In RapidMiner
- The RapidMiner MarketPlace - Extensions
|
- Data Loading via a Process
- Importing Data in RapidMiner Studio
- Turbo Prep - Introduction
- Turbo Prep - Data Cleansing
- Turbo Prep - Merging Data
- Turbo Prep - Data Pivoting
- Data Preparation
- Connecting to Databases
|
- Creating a 'Decision Tree' Model
- Applying the Model
- Testing a Model
- Validating a Model
- Finding the Right Model
- Optimization of the Model Parameters
- Automated Model Selection and Optimization
- Auto Model - Classification
- Auto Model - Clustering & Outliers
- Interactive Decision Trees
|
- RapidMiner Model Operations - Introduction
- RapidMiner Model Operations - Deployment
- RapidMiner Model Operations - Management
- Collaboration of RapidMiner Studio and AI Hub
- AI Hub Components Overview
- AI Hub Deployment with Docker
- Introducing RapidMiner Radoop
|
