This repository contains the all learning material of MLOPs using ml-flow. MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry
MLflow is an open-source platform for the complete machine learning lifecycle that allows you to manage your end-to-end machine learning workflow. It provides a simple API for logging parameters, code versions, and results, as well as packaging code into reproducible runs.
This repository contains the all learning material of MLOPs using ml-flow. MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry