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SAP Learning

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

via SAP Learning

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Overview

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At the end of this course, participants will be able to understand how machine learning is implemented in SAP HANA with regression, classification and time series analysis, by using the relevant SAP HANA libraries, SAP HANA Predictive Analysis Library (PAL) and SAP HANA Automated Predictive Library (APL).

Syllabus

  • Carrying out Data Analysis and Predictive Modeling
    • Understanding the Foundations of Data Analysis and Predictive Modeling
    • Applying Classification, Regression, and Time Series Analysis
    • Carrying out Data Analysis and Predictive Modeling
  • Navigating Machine Learning: Supervised vs. Unsupervised and Workflow Implementation
    • Distinguishing Between Supervised and Unsupervised Learning
    • Implementing a Machine Learning Workflow
    • Navigating Machine Learning: Supervised vs. Unsupervised and Workflow Implementation

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