model monitoring

A practical machine learning guide for beginners: set up a Python environment, train a classification model with scikit-learn, serialize it, and monitor data drift in production. Based on real-world experience integrating ML into a DevOps pipeline — including the painful lesson of neglecting a model for 3 months and watching it drift.