Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

Maximize data science productivity

• Visual workflow designer accelerates the prototyping & validation of predictive models, with predefined connections, built-in templates and repeatable workflows.
• Rich library of over 1500 machine learning algorithms and functions to build the strongest possible predictive model for any use case
• Open and extensible for easy integration with existing applications, data, and programming languages like Python and R
• Now with Auto Model and Turbo Prep: RapidMiner Auto Model uses automated machine learning to accelerate every step in the lifecycle of building a model. With RapidMiner Turbo Prep everyone from analysts to data scientists can easily transform, pivot and blend data from multiple sources in just a few clicks.

Introducing RapidMiner Turbo Prep

RapidMiner Turbo Prep accelerates data preparation by visually blending and enriching data, enabling analytics teams to work with data faster.

Streamlines transformation, development & validation

Data access

Connect to any data source, any format, at any scale

• More data connectors than any other visual design platform.
• Includes over 60 file types and formats for structured and unstructured data.

Access, load and extract information from unstructured data

• 80+ functions for text, web and multimedia mining & processing.
• Supports plain texts, HTML, PDF, RTF, and many more.

View All Data Access Features

Data exploration

Robust statistical overviews to quickly explore and understand your data

• Graphically displays attribute name & type.
• Quickly identifies missing values.

A powerful chart engine offers more than 30 different visualization options

• Bubble charts & 3-D scatter plots.
• Network & tree visualizations, and many more.

View All Data Exploration Features

Data prep

Offers a host of data quality, integration, and transformation tools 

• Multiple options to aggregate, filter and sort or join data.
• Feature engineering operators for feature selection, creation & extraction.

Determine best influence factors or generate new factors

• Advanced attribute weighting capabilities.
• Options for new attribute generation.

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Data cleansing

Provides a variety of advanced approaches for data cleansing

• Identification and removal of duplicate
• Anomaly & outlier detection & removal
• Normalization & standardization
• Weighting schemes measuring the influence of attributes

Offers sophisticated dimensionality reduction technique

• Self Organizing Maps (SOM)

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Modeling

Breadth of machine learning functions

• Classification, regression and clustering techniques.
• Association mining, frequent item set & similarity computation.
• Ensemble & hierarchical models.

More than 100 additional modeling operators

• Seamlessly integrate R, Python and custom scripts.
• Process Control functions.
• Optimization loops & branches.

View All Modeling Features

Validation

Only visual workflow designer with correct model validation techniques

• Preprocessing models.
• Cross validation & split validation.
• Visual evaluation techniques.

Trustworthy performance calculations

• Accuracy, Precision, Recall, RMSE, AUC and many more.
• Calculating significance tests.

View All Validation Features

Open and extensible

Integrate all of your existing applications, data, and programming languages

• Native R and Python support
• Download hundreds of extensions from the RapidMiner Marketplace
• Source code is available under an aGPL license

Learn more about RapidMiner Studio

RapidMiner Studio Overview