The Machine Learning Lifecycle: 10 Steps From Problem to Production (And Why Most Projects Fail at Step 3)

Every ML tutorial jumps straight to model training. But in the real world, training is step 7 out of 10 — and the steps before it are where projects succeed or fail. This post walks through the full Machine Learning Lifecycle, from defining your problem to keeping your model healthy in production, with real examples and practical advice at every stage. The Big Picture Machine Learning is an iterative and structured process . It's not "throw data at an algorithm and hope for magic." It's a cycle