• Course

Developing Regression Models with the Python Machine Learning Client for SAP HANA

  • 2 Units
  • Leads to Achievement

About this course

  • Configuring the Python machine learning client for SAP HANA (hana-ml) and connecting to SAP HANA CloudAccessing 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:

HAML01 -https://learning.sap.com/learning-journeys/developing-ai-models-with-the-python-machine-learning-clients-for-sap-hana

Roles, products and skills

Data ScientistDeveloperSAP HANA, enterprise edition

Appears in

Learning Journey: Developing AI workflows with the Python Machine Learning Client for SAP HANA

Learn

Available in

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Prerequisites

Basic Structured Query Language (SQL) knowledge is highly desirable. 

If you need some foundational information, you can also refer to:

HAML01 -https://learning.sap.com/learning-journeys/developing-ai-models-with-the-python-machine-learning-clients-for-sap-hana

Roles, products and skills

Data ScientistDeveloperSAP HANA, enterprise edition

Appears in

Learning Journey: Developing AI workflows with the Python Machine Learning Client for SAP HANA
Learning

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