50+ days of Machine Learning

 Hello :) Today is Day 187! A quick summary of today: creating a docker container with postgres db, pgadmin, grafana and fastapi a small Glaswegian project update Docker and I are becoming closer and closer friends ^^ Before going into that, I will go in order of things I did today. All files and code from today, and up until this point are on my repo . Firstly, monitoring with Evidently I learned about Evidently from the mlops zoomcamp, and it looked very easy to use, so I gave it a try.  In order to generate the reports, I decided to use my data before creating dummies. Because the balanced random forest classifier model uses a dataset with all dummies (all categorical data). So in order for the monitoring to be a bit more understandable, I decided to use the 'pre-dummy' dataset, and below are some parts of the generated reports by Evidently.  There is variable info: Missing values: Drift: Model performance: The reports (as html) are on my repo in the monitoring/evidently_rep