The barriers to production-ready machine learning are beginning to fall with the Vertica Unified Analytics Warehouse. Now, the VerticaPy library for Python is making it even easier for non-data scientists to get started on the path to powerful, predictive analytics. This 3-hour workshop offers hands-on instruction in the basics of machine learning plus coding in Python using VerticaPy, all in the context of specific real-world use cases to create a useful, practical experience.


This workshop presents a deep dive into handling missing values; anomaly outlier detection; understanding correlations; and working with time series data. Students will learn:


  • Engineering basics
  • Building and evaluating a classification model
  • Building and evaluating a regression model
  • Cross validation
  • How to master a use case together




Install Vertica

Install VerticaPy:

Knowledge: Python and Jupyter Notebooks