Ravindra BagaleCourses & study guides मराठी Track your progress

35. Decision Trees and Random Forests in Python

Tree mhanje if/else rules. Forest mhanje many trees voting. Aaj donhi fit karuya — depth control solid theva.

What you will learn in this chapter

  • Read a tree as if/else rules
  • Know when a forest helps
  • Copy-run DecisionTreeClassifier
  • Copy-run a small RandomForestClassifier
  • Practice before clustering

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

  1. 35.1Readable Rules from a Decision Tree
  2. 35.2One Tree vs Random Forest
  3. 35.3Copy-Run a Small Decision Tree
  4. 35.4Copy-Run a Small Random Forest
  5. 35.5Practice, Tip and Close

The chapter recap is at the end of the last concept page.