Gerhard Svolba's Projects
Companion and Download Site for the SAS Press Book "Applying Data Science - Business Case Studies Using SAS"
Collection of contributions to SAS User Groups like KSFE, SAS Club, SFD, ...
This page contains content of Extension Nodes for Data Preparation on Longitudinal Data for SAS Enterprise Miner
Best practices how to prepare data for Data Science and Analytics, Tips/Tricks and Code Examples on how to implement this with SAS Software
Considerations and best practices for data quality in the context of data science, analytics and machine learning and how to implement this with SAS Software. Companion and Download Site for the SAS Press Book "Data Quality for Analytics Using SAS" by Gerhard Svolba
A collection of conference presentations by Gerhard Svolba on various analytical topics
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.