Why I like using SAS Model Studio

While I often will build a model using code, I prefer to use SAS Model Studio[1], a feature of the SAS Viya platform which allows me to use both visual and programmatic methods to develop analytic models. ???It offers an integrated environment for exploring my data as well as for building, testing, and deploying models. Let us explore the benefits and features of this powerful tool.

1.????? ?Streamlined Model Building

SAS Model Studio simplifies the process of building models through its intuitive drag-and-drop interface. Users can easily assemble data preparation, feature engineering, and model building pipelines without writing a single line of code. This visual approach makes it accessible for both experienced data scientists and those new to analytics.

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2.????? Comprehensive Model Comparison

One of the standout features of SAS Model Studio is its ability to compare multiple models side-by-side. Users can assess model performance using various metrics and visualizations, ensuring that the best model is selected for deployment. This comprehensive comparison feature saves time and enhances the accuracy of model selection.

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3.????? ?Automated Machine Learning (AutoML)

SAS Model Studio includes AutoML capabilities, which automate the process of model selection and hyperparameter tuning. By leveraging AutoML, users can quickly identify the most effective models for their data, reducing the time and effort required for manual experimentation.

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4.????? Wide variety of models and Open-Source Integration

Build predictive models, develop forecasts, and perform text analytics from the vast array of machine learning, forecasting, natural language processing, and deep learning algorithms that SAS has to offer. ?Do you have favorite Python or R models? ?There is an open-source node for you to incorporate those as well.

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5.????? Collaboration and Reproducibility

The collaborative environment of SAS Model Studio allows multiple users to work on projects simultaneously. All changes and versions are tracked, ensuring reproducibility and accountability. This collaborative feature is particularly valuable for teams working on complex projects with multiple stakeholders.

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6.????? Seamless Integration with SAS Viya

As part of the SAS Viya platform, Model Studio integrates seamlessly with other SAS tools and services. This integration provides a unified environment for data preparation, analysis, and model deployment. Users can leverage the full power of SAS Viya, including its advanced analytics and machine learning capabilities.

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7.????? Easy Model Deployment

Deploying models from SAS Model Studio is straightforward, allowing users to operationalize their analytics with minimal effort. Models can be deployed to a variety of environments, including cloud and on-premises systems, ensuring flexibility and scalability.

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These are some of the reasons why I think SAS Model Studio in SAS Viya is an indispensable tool for any organization looking to harness the power of advanced analytics. Its intuitive interface, variety of modeling & comparison capabilities, AutoML & open-source integration, and easy deployment make it a top choice for data scientists and analysts. By leveraging SAS Model Studio, organizations can drive better decision-making and achieve greater business outcomes.

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[1] SAS for Machine Learning and Deep Learning | SAS