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This introductory course explains supervised learning with decision trees and random forests for classification and regression. It includes Python demonstrations, bagging concepts, exploratory data analysis, and a baseline random-forest regression model using COVID-19 data.
Syllabus
➤ Skip Intro: .
Introduction.
Agenda.
Decision Tree Algorithm.
Decision Tree in Python.
Random Forest Algorithm.
Random Forest in Python.
Taught by
Great Learning