34. Classification in Python with Logistic Regression
Aaj classification — yes/no. LogisticRegression fit karuya, predict_proba baghuya. Probability 0.5 default — business threshold nantar. Chala.
What you will learn in this chapter
- Why yes/no or category problems need classification
- Copy-run LogisticRegression with a stratified split
- Read predict_proba in plain English
- Avoid majority-class traps
- Practice before trees
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
- 34.1Why Yes/No or Category Problems
- 34.2Copy-Run LogisticRegression
- 34.3predict_proba Explained Simply
- 34.4Thresholds and Class-Balance Mistakes
- 34.5Practice, Tip and Close
The chapter recap is at the end of the last concept page.