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Developing Time Series Models with the Python Machine Learning Client for SAP HANA
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Setting Up the Environment and Preparing Data Using SAP HANA DataFrames
Understanding Machine Learning for Time Series Forecasting
Providing an Overview of Time Series Models
10 min
Exploring the Demo Scenario- Forecasting Overnight Stays
10 min
Quiz
Setting Up the Environment and Preparing Data Using SAP HANA DataFrames
Configuring the Python Machine-Learning Client for SAP HANA
10 min
Exploring and Manipulating Data with SAP HANA Dataframes
10 min
Quiz
Training an SAP HANA PAL Univariate Time Series Model
Building a Univariate Forecasting Model with SAP HANA PAL
10 min
Quiz
Forecasting with Multiple Time Series
Preparing Data for Multiple Time Series Forecasting
10 min
Forecasting Across Grouped Time Series
10 min
Quiz
Understanding Machine Learning for Time Series Forecasting
Providing an Overview of Time Series Models
10 min
Exploring the Demo Scenario- Forecasting Overnight Stays
10 min
Quiz
Setting Up the Environment and Preparing Data Using SAP HANA DataFrames
Configuring the Python Machine-Learning Client for SAP HANA
10 min
Exploring and Manipulating Data with SAP HANA Dataframes
10 min
Quiz
Training an SAP HANA PAL Univariate Time Series Model
Building a Univariate Forecasting Model with SAP HANA PAL
10 min
Quiz
Forecasting with Multiple Time Series
Preparing Data for Multiple Time Series Forecasting
10 min
Forecasting Across Grouped Time Series
10 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 3 right to pass this unit.
1.
Which function is used to convert a string column to a date format in SAP HANA DataFrames?
Choose the correct answer.
TO_TEXT()
TO_DATE()
CONVERT_DATE()
FORMAT_TEXT()
2.
The hana-ml package must be installed manually in the Python environment.
Choose the correct answer.
True
False
3.
What is the primary purpose of setting up a connection context in the hana-ml client?
Choose the correct answer.
To download SAP sample datasets into Python notebooks
To send data from pandas to a remote SAP Data Lake
To visualize SAP HANA tables in a local dashboard tool
To enable the Python client to interact with SAP HANA Cloud
4.
Which of the following operations are part of preparing data using SAP HANA DataFrames?
There are three correct answers.
Sorting data by date or time column
Filtering rows based on conditions
Aggregating values using group functions
Converting string fields to date formats