39. End-to-End Machine Learning Project (India Dataset)
Aaj full mini project — Mauli Dairy fictional shops. Question → data → split → two models → metrics. Block B close. Pudhe preprocessing (ch40) ani deep learning.
What you will learn in this chapter
- Write a clear India business ML question
- Prepare X/y and a stratified split
- Train logistic regression and a random forest
- Evaluate and sanity-check overfit
- Practice checklist tying ch29–ch38
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
- 39.1Project Goal (India Fictional)
- 39.2Load, Clean and Split
- 39.3Train Two Models
- 39.4Evaluate and Choose
- 39.5Practice, Tip and Close
The chapter recap is at the end of the last concept page.