I recommend to access our Developing AI workflows with the Python Machine Learning Client for SAP HANA learning journey.
Leaning Objectives
By the end of this learning journey, learners will be able to:
- Know how to install and configure the Python Machine Learning Client (hana-ml) and connect securely to SAP HANA Cloud.
- Apply HANA DataFrames to access, prepare, and explore SAP HANA data for machine learning tasks.
- Think critically to build, train, and deploy machine learning models using PAL functions for regression, classification, and time-series forecasting.
- Impact business outcomes by using real-world datasets (e.g., housing prices, employee churn) to complete end-to-end ML workflows.
- Evaluate models using appropriate metrics to assess performance, robustness, and business relevance.
Goals
- Get started with SAP: Building the basics
- Develop your expertise: Skill deepening learning
- Excel in your expertise: Advanced specialization learning
Prerequisites
Please post you question related to the digital learning Journey in the Q&A area.
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Kind regards
Margit
Bluesky
