Here is the link of the course

All code in the repository is intended to replicate the behavour of machine learning models lifecycle in production.

Having in mind that I wil make Continuous Integration, Deployment and Training, also it test the API using github actions.

• /notebooks
• /src
• /utilities
• /api
• /dataset
• /model
• /.github/workflows

Notebooks where a compacted form of the results obtained in applied machine learning with python course of Platzi can be seen

This folder contains the files used to make the retraining Pipeline

This folder contains the files to set enverionment behaviour

The api folder contains all files related to the API service, it uses FastAPI as main framework

This folder is intended to save the dataset files, which are being tracked remotely using Data Version Control and the .dvc files that have the hashes

As /dataset this folder contains de models files tracked with dvc

This folder contains all workflow for continuous integration and deployment, testing and continuous training, used in github actions.

You can test the API here

Also yo can reach me in Twitter as @gersonrpq