50+ days of Machine Learning

 Hello :) Today is Day 214! A quick summary of today: documenting the KB project data using arrow.app small repo changes ML zoomcamp announcement I tried to find some graph documentation tool for the KB project. The most popular I could find is this arrows.app application where we can create sample nodes with edges between and add attributes with descriptions. I created the below pic using that app Also I made some small changes to the repo: the readme I added: Docker - used to containarise and self-host the below services Mlflow - used for easy model comparison during development. Can be improved by using cloud services (like GCP) for hosting, database and artifact store Mage - used for pipeline orchestration of the model training and real-time inference pipelines. Can be improved by hosting mage on the cloud Neo4j - used as a Graph database to store transaction data as nodes and edges. Can be improved by using Neo4j's AuraDB (hosted on the cloud) Kafka - used to ensure real-time