Are Your ML Experiments a Mess? Here’s the Fix

Machine learning projects often spiral into chaos when priorities shift, new data arrives, and stakeholders change direction — making it nearly impossible to track what worked and why. MLflow, a free open-source platform, solves this by letting teams log models, metrics, parameters, and datasets in one place, compare experiment runs side-by-side, and reproduce results quickly. It also integrates directly into Databricks for added functionality.