Day 4 — Data Quality, Data Drift, and Why ML Models Decay Over Time

So far: Day 1 → What MLOps is and why it matters Day 2 → The ML lifecycle from idea to production Day 3 → Data engineering basics and data pipelines Today we answer a very important question: Why do ML models get worse over time, even if they were ac...