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SAP Learning

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

via SAP Learning

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Overview

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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.

Syllabus

  • Introducing SAP HANA Machine Learning
    • Setting Up the Environment
    • Exploring Data with SAP HANA DataFrames
    • Introducing SAP HANA Machine Learning
  • Building and Evaluating Regression Models
    • Training a Regression Model with SAP HANA PAL
    • Understanding Model Evaluation and Optimization
    • Building and Evaluating Regression Models

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