TechBytes: Using Python with Vantage | 3. Analytic Functions Modeling and Model Cataloging

Are you a Data Scientist who love using Python and Jupyter Notebook but having a difficulty building performant analytics and machine-learning at scale? Don’t despair - Teradata Vantage and Teradata Package for Python (teradataml) are to the rescue. They enable performant execution of complex analytics on large datasets, while using your favorite data science tool and language.

In this third episode in Using Python with Vantage TechBytes series, Alexander Kolovos demonstrates using teradataml to use Vantage in-database machine learning / modeling functions (XGBoost, Decision Forest, Confusion Matrix) as well as Model Cataloging feature.

Get a full understanding of the latest features offered by teradataml and how Vantage coupled with teradataml can drive faster time to value through this TechBytes series: