karolzak/support-tickets-classification
📦 Open Source Projectkarolzak
A practical proof-of-concept for automating support ticket classification using machine learning and Azure cloud deployment.
This repository serves as an educational blueprint for organizations looking to automate their support ticket triage processes. It covers the entire lifecycle of an AI project, from initial text analysis and data preprocessing using Python libraries like NumPy and Pandas, to model training and deployment. The project specifically focuses on integrating machine learning workflows with Azure services, including Azure Machine Learning and Azure Web App Service. By providing a structured approach to text classification, it helps developers understand how to transition from a local machine learning prototype to a production-ready cloud-based web service. The implementation highlights best practices for feature engineering in text-based datasets and the architectural considerations required for deploying ML models in a corporate cloud environment.
💡Highlights
- ├─End-to-end Azure ML deployment
- ├─Automated support ticket routing
- └─Python-based text classification
🎯For
- ├─Machine Learning Engineers
- └─Cloud Architects