Lecture 7 – Decision trees and ensemble algorithm#


Regression or classification based on tree models or random forest models.

Contents of this lecture

  • Decision trees (CART) for classification/regression

  • Example of Decision Tree Algorithm

  • Pros and Cons of CART

  • Random forest (Ensemble techniques)

    • Bagging/Boosting

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Please download the lecture through the following link Lecture 7 – Decision trees and ensemble algorithm