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https://github.com/sap-samples/service-ticket-intelligence-jupyter-notebook

Use Jupyter Notebook samples to try out the Service Ticket Intelligence classification and recommendation APIs.
https://github.com/sap-samples/service-ticket-intelligence-jupyter-notebook

artificial-intelligence jupyter-notebook machine-learning sample sample-code sap-ai-business-services service-ticket-intelligence

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Use Jupyter Notebook samples to try out the Service Ticket Intelligence classification and recommendation APIs.

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# Service Ticket Intelligence - Jupyter Notebooks and Dataset Example Sample Files



## Description



This repository contains Jupyter Notebooks files and also a CSV dataset example sample file used in the tutorial mission [Use Machine Learning to Process Service Requests](https://developers.sap.com/mission.cp-aibus-sti-service-requests.html#pathItem_1).



This sample uses one of the services of the commercial SAP product line SAP AI Services: Service Ticket Intelligence. For details on how to use these sample files, see the tutorial mission [Use Machine Learning to Process Service Requests](https://developers.sap.com/mission.cp-aibus-sti-service-requests.html#pathItem_1).



## Requirements



- [Service Ticket Intelligence](https://help.sap.com/stint) ([SAP AI Services](https://help.sap.com/ais) and [SAP Business Technology Platform (SAP BTP)](https://help.sap.com/docs/btp) commercial service) or a [Free Account on SAP BTP Trial](https://developers.sap.com/tutorials/hcp-create-trial-account.html) 

- [Jupyter Notebook](https://www.dataquest.io/blog/jupyter-notebook-tutorial/)

- [Ananconda Python (version 3.7)](https://www.anaconda.com/products/individual)



## Download and Installation:



Download these files directly from GitHub as a [ZIP file](https://github.com/SAP-samples/service-ticket-intelligence-jupyter-notebook-sample/archive/master.zip), or by using the git command line tool:



    git clone https://github.com/SAP-samples/service-ticket-intelligence-jupyter-notebook-sample

  

## Configuration



For configuration instructions, see the tutorial mission [Use Machine Learning to Process Service Requests](https://developers.sap.com/mission.cp-aibus-sti-service-requests.html#pathItem_1).



## How to obtain support:



If you face any issue with the sample files, please log a bug here in GitHub.



## License



Copyright (c) 2024 SAP SE or an SAP affiliate company. All rights reserved. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the [LICENSE file](/LICENSES/Apache-2.0.txt).



## Data and License



This repository contains a [CSV dataset example sample file](/datasets/complaint_clean.csv) that is a small dataset of service request tickets on complaints received about financial products and services. The dataset was obtained from [Kaggle Simulations](https://www.kaggle.com/sebastienverpile/consumercomplaintsdata/home?select=Consumer_Complaints.csv). It is originaly from [DATA.GOV](https://catalog.data.gov/dataset/consumer-complaint-database). The Dataset is licensed under [CC0 1.0 Universal (CC0 1.0) Public Domain Dedication](https://creativecommons.org/publicdomain/zero/1.0/) that waives copyright interest in a work you've created and dedicates it to the world-wide public domain.