SAP-samples/hana-ml-samples
This project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.
This project helps data professionals, developers, and analysts working with SAP HANA to understand and implement predictive and machine learning capabilities. It provides ready-to-use code examples for various ML scenarios, allowing you to learn how to apply algorithms directly within your SAP HANA database. You'll gain practical insights into using SAP HANA's built-in predictive libraries for tasks like forecasting, classification, and more.
108 stars.
Use this if you are a developer or data professional looking to build or integrate predictive and machine learning models directly within your SAP HANA environment.
Not ideal if you are looking for a general-purpose machine learning library outside of the SAP HANA ecosystem or a low-code/no-code ML solution.
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108
Forks
61
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 06, 2026
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