- Create a Microservice in Flask or Fast API
- Push source code to Github
- Configure Build System to Deploy changes
- Use IaC (Infrastructure as Code) to deploy code
- Use either AWS, Azure, GCP (recommended services include Google App Engine, AWS App Runner or Azure App Services)
- Containerization is optional, but recommended: Create a virtual environment
- Find an interested csv online
- Cleaned the dataset if needed
- Take a few columns and manipualte some calculations using Rust
- Microservices
- china is not in the dataset, thus it will return "The country is not in the dataset"
- The following is to show the predicted 2020 average wage in the United States
- This is a good practice to deploy it on the AWS App Runner
https://github.com/noahgift/gcp-hello-ml
https://github.com/nogibjj/rust-mlops-template
https://www.kaggle.com/datasets/kabhishm/countries-by-average-wage (Kaggle Dataset)