How Duolingo Plans to Reach 100M Users

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

SAP Learning

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

via SAP Learning

Go to class Write review
Coursera Ad

Launch a New Career with Certificates from Google, IBM & Microsoft

Learn More → OpenLearning Ad

Future-Proof Your Career: AI Manager Masterclass

Learn More →

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access

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

Reviews

Start your review of Developing Regression Models with the Python Machine Learning Client for SAP HANA

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.