This workshop presents a deep dive into handling missing values; anomaly outlier detection; understanding correlations; and working with time series data. Participants 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: https://www.vertica.com/try/
Install VerticaPy: https://github.com/vertica/VerticaPy
Knowledge: Python and Jupyter Notebooks
Vertica Machine Learning and Python: A Hands-on Workshop
Date: Wednesday, April 21, 2021 Time: 09:00-12.00 (CET)
Filip Pandža, MSc in Data Science, Data Management Consultant at Poslovnoj Inteligencija
Filip started his career as a consultant on a Data Warehouse project in which original central repository was Netezza database, and Filip’s team performed the migration of the database to Vertica.
Currently he works on an IPTV Analytics project where he uses Python and SQL to create data pipelines that prepare TV content viewership data and store them in Vertica, where they are later used for analytics. Machine Learning is used on the project to check the validity of incoming data. Filip holds a TensorFlow Developer certificate and in his spare time he enjoys exploring Deep Learning projects.