TechBytes: Vantage Analytics Library | Part 3. Data Transformation & Matrix Building with teradataml

Analytics Library feature in Vantage enhances Vantage’s powerful in-database analytics capability by adding a set of analytic functions in the areas of descriptive statistics, data transformation, hypothesis test, and predictive modeling / scoring. In this part 3 of a 4-part series on Analytics Library, you will see a demo that shows powerful but flexible data transformation options provided by Analytics Library and Teradata Package for Python (teradataml) using Jupyter. You will get a brief peek at how you can do transformations like binning, one hot encoding, and NULL value replacement. It also includes a demo on Analytics Library matrix function for correlation and covariance.