Data Governance Tools Resources

SAS Visual Data Mining and Machine Learning (VDMML) is a unified, in-memory platform used for end-to-end data science and analytics. It is primarily used for: Data Preparation: Cleaning, exploring, and engineering features from massive datasets. Model Building: Developing predictive models using automated machine learning (AutoML), deep learning, clustering, and traditional statistics. Visual & Code Interfaces: Allowing users to build models via a drag-and-drop visual interface or by writing code (SAS, Python, R). Model Deployment: Scaling, managing, and putting machine learning models into production quickly.