33. Linear Regression in Python with sklearn
Chala mitrano, aaj pahila real model — Linear Regression. Number predict karaycha: rent, sales. fit, predict, coef_ — simple language madhe. Ghabru naka, copy-run karuya.
What you will learn in this chapter
- Why predict a number (regression vs classification)
- Intercept and coefficient intuition
- Copy-run LinearRegression with a train/test split
- Read coef_ and intercept_ in business words
- Spot common mistakes
- Practice before classification
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
- 33.1Why Predict a Number (Regression)
- 33.2Fit, Intercept and Coefficient Intuition
- 33.3Copy-Run LinearRegression on Fictional Rent
- 33.4Reading coef_ and intercept_
- 33.5Common Linear Regression Mistakes
- 33.6Practice, Tip and Close
The chapter recap is at the end of the last concept page.