Introducing SAP HANA Machine Learning

Building and Evaluating Regression Models

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Knowledge quiz

It’s time to put what you’ve learned to the test, get 4 questions right to pass this unit.

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Distribution plot

Scatter plot

Line plot

Pie chart

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Data storage and retrieval

Real-time analytics and processing

Limited support for machine learning models

Cloud-based deployment and scalability

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Predictive Analysis Library (PAL) package

SAP HANA Cloud SQL Console

Automated Predictive Library (APL) package

SAP HANA DataFrame

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Import the pandas library

Set up an encrypted connection using the class 'SAP class hana_ml.dataframe.ConnectionContext'

Load the California housing dataset into memory

Execute a SQL query on the database

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By using a proprietary SAP communication protocol

Through a REST API interface provided by SAP HANA Cloud

By exporting data to a local CSV file first

Through the SAP HANA Python driver (hdbcli)

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