I recommend to access our Developing Regression Models with the Python Machine Learning Client for SAP HANA learning journey.
Overview
In this enablement you will apply the machine learning workflow using the Python machine learning client for SAP HANA, also known as hana-ml. You will look at the steps from feature extraction to model evaluation, using the California housing dataset as scenario.
Learning objectives
- Configuring the Python machine learning client for SAP HANA (hana-ml) and connecting to SAP HANA Cloud
- Accessing and visually exploring SAP HANA data using HANA dataframes via Python
- Training a regression model for the California housing dataset using hana-ml Predictive Analysis Library (PAL) functions
- Performing Model Evaluation to show the model accuracy obtained
Prerequisites
- Basic Structured Query Language (SQL) knowledge is highly desirable.
- If you need some foundational information, you can also refer to:
Developing AI Models with the Python Machine Learning Client for SAP HANA
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I appreciate your feedback and we will make sure to continue sharing interesting topics.
Kind regards
Margit
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