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

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