TechBytes: Vantage Analytics Library Part 2 – Data Exploration Using Analytics Library and Python
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 2 of a 4-part series on Analytics Library, you will see a demo on how Analytics Library along with Teradata Package for Python (teradataml) make your data exploration processes much easier, while using your preferred language (Python) and tool (Jupyter notebook). You will get a brief peek at Values, Statistics, Frequency, and Histogram functions as well as data visualization of the results.
Continue exploring
Brochure
Sustainability - Becoming a Net-Zero Bank
Download now
Webinar
Are You Flying Blind in Retail? It's Time to Enhance Customer Experience
Watch now
Webinar
Gaining Perspective – The Telco View from Outside
Watch now
Brochure
Dynamic Supply Chain - Predict the Needs of Ever-changing Consumer Behavior Patterns
Download now