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Developing Classification Models with the Python Machine Learning Client for SAP HANA
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Setting Up the Environment and Analyzing Data with the SAP HANA Dataframes
Understanding Classification with SAP HANA
Providing an Overview of Classification Models
15 min
Exploring the Demo Scenario - Preventing Employee Churn
10 min
Quiz
Setting Up the Environment and Analyzing Data with the SAP HANA Dataframes
Configuring the Python Machine Learning Client for SAP HANA
12 min
Exploring and Manipulating Data with SAP HANA DataFrames
20 min
Quiz
Training a PAL Classification Model for the Employee Churn dataset
Handling Data for Model Training
10 min
Training the Classification Model
14 min
Quiz
Evaluating and Testing the Model
Evaluating Model Performance
10 min
Generalizing the Model Using Test Data
15 min
Quiz
Understanding Classification with SAP HANA
Providing an Overview of Classification Models
15 min
Exploring the Demo Scenario - Preventing Employee Churn
10 min
Quiz
Setting Up the Environment and Analyzing Data with the SAP HANA Dataframes
Configuring the Python Machine Learning Client for SAP HANA
12 min
Exploring and Manipulating Data with SAP HANA DataFrames
20 min
Quiz
Training a PAL Classification Model for the Employee Churn dataset
Handling Data for Model Training
10 min
Training the Classification Model
14 min
Quiz
Evaluating and Testing the Model
Evaluating Model Performance
10 min
Generalizing the Model Using Test Data
15 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 2 right to pass this unit.
1.
What is the purpose of the hana-ml package in SAP HANA?
Choose the correct answer.
To access SAP HANA via a Python runtime environment
To install database services for SAP HANA in local systems.
To manage access controls and user accounts for SAP HANA.
To create dashboards and visualizations for data analysis.
2.
Which of the following steps is required to load the Employee Churn dataset into a SAP HANA DataFrame in Python?
Choose the correct answer.
Apply hana_ml.dataframe.create_dataframe_from_pandas() to convert the Pandas DataFrame into a SAP HANA DataFrame.
Use read_csv() function to load the dataset into a Pandas DataFrame.
Use the head() method to visualize the first few rows of the dataset.
Execute the head() method to automatically load the dataset into SAP HANA.