**Working in progress.**
A playground to demonstrate how to productionalize AI/ML models for developers.
Key deliverables
- Code change management via GitHub.
- Deploy the model to the cloud (Microsoft Azure) as an API for real time inferencing.
- CI/CD enabled for ML code update.
- Enable local model validation.
- Integrate the workflow with Azure Machine Learning Studio.
- Model version managment in cloud.
The code of the ML model is from an example in Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurélien Géron. It is a linear regression model that predict housing price in Calafornia.
Plan to use the same algorithm to create another house price prediction model in King County, Washington.
The front-end will be a simple website that taking user input and display the prediction value.
Note: The data used in this project is not the latest therefore the preduection value is expected to be off.