50+ days of Machine Learning

 Hello :) Today is Day 205! A quick summary of today: no minIO, just plain old postgres and local storage for mlflow helping my friend better understand github's workflow Yesterday I mentioned I set up minIO as an artifact store for mlflow ~  Well today I removed it haha. The problem was that i wanted some extra AWS credentials in order to work, and to get that I need a working AWS account. I can easilty set that up again (because I deleted my aws account recently), but in order for my project collaborator to set it up, he needs to do it as well. We have enough work as it is, and this extra tech is not essential so I just removed it and set up mlflow just using a local postgres docker service and a folder as the artifact store. Maybe later, we can swap out this whole mlflow to run on GCP but it is not crucial if we leave it as is for now.  While setting up mlflow and testing the connection, I was reminded of the value of "network" in dockere-compose. I had the other servi