hana-ml Tutorials
=================

We provide a series of Jupyter notebooks to illustrate the usage of hana-ml.

-  `DataFrame <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial_DataFrame.ipynb>`_

**PAL package**

-  `Auto ML <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial_Auto_ML.ipynb>`_
-  `Classification <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial_Classification.ipynb>`_
-  `Regression <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial_Regression.ipynb>`_
-  `Clustering <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial_Clustering.ipynb>`_

**APL package**

- `Time Series Forecasting <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/apl/notebooks/Time%20Series%20Forecasting.ipynb>`_
- `Classification & Regression <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/apl/notebooks/Classification%20%26%20Regression.ipynb>`_
- `Data Drift Detection <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/apl/notebooks/Data%20Drift%20Detection.ipynb>`_

**End-to-End Scenarios**

-  `Scenario 1: Analyze the Cash Flow of an Investment on a New Product <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial-Analyze-the-Cash-Flow-of-an-Investment-on-a-New-Product.ipynb>`_
-  `Scenario 2: Predict Segmentation of New Customers for a Supermarket <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial-Predict-Segmentation-of-New-Customers-for-a-Supermarket.ipynb>`_
-  `Scenario 3: Survival Analysis <https://github.com/SAP-samples/hana-ml-samples/blob/main/Python-API/pal/notebooks/tutorials/hana-ml_Tutorial-Survival-Analysis.ipynb>`_