30. The Machine Learning Workflow Step by Step
Chala mitrano, aaj ML chi process — data, features, train, evaluate, predict. Ek India story: late delivery risk. Model code nahi — pehle steps clear. Samjla ka flow tar pudhe sklearn sope vatel.
What you will learn in this chapter
- The five ML steps in order
- One India story walked end to end in words
- Where humans still decide (not the model)
- Common workflow mistakes beginners make
- A practice checklist you can reuse
Fictional data
Blinkit / Amazon Now / Mauli Dairy figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com.
Concepts in this chapter
- 30.1The Five Steps: Data, Features, Train, Evaluate, Predict
- 30.2An India Story Walkthrough
- 30.3Where Humans Still Decide
- 30.4Common Workflow Mistakes Beginners Make
- 30.5Practice, Tip and Close
The chapter recap is at the end of the last concept page.