Are you a Data Scientist who loves using Python and Jupyter Notebook but is having difficulty building performant analytics and machine-learning at scale? Don't despair - Teradata Vantage and Teradata Package for Python (teradataml) are here to help. They enable performant execution of complex analytics on large datasets, while using your favorite data science tools and language.
In this second episode of the Using Python with Vantage TechBytes series, Alexander Kolovos demonstrates how to use Vantage and teradataml for data exploration and transformations as well as to build an analytic data set (ADS).
Download Jupyter notebook used in the demonstration from a Teradata GitHub site: https://github.com/Teradata/techbytes-using-python-with-vantage