Introduction to MLflow

MLflow is an open source platform to manage the ML lifecycle. It facilitates tracking of experiments, reproducibility and deployment of ML models through a simple Python API. It is also integrated as a part of Databricks, but can be run both on a local machine and/or a cluster. In this meetup, we will go through an "end-to-end" ML project with focus on how MLflow is useful in each part of the workflow.

Pizza and drinks will be provided by Norconsult Informasjonssystemer.