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LinkedIn Learning

Machine Learning with Python: Decision Trees

via LinkedIn Learning

Overview

Learn how to build decision trees in Python to measure impurity within a partition and improve outcomes on machine learning projects.

Syllabus

Introduction
  • Making decisions with Python
  • What you should know
  • The tools you need
  • Using the exercise files
1. Decision Trees
  • What is a decision tree?
  • How is a classification tree built?
  • How do classification trees measure impurity?
  • How is a regression tree built?
  • How to prune a decision tree
  • Why and when to use a decision tree
2. Working with Classification Trees
  • How to build a classification tree in Python
  • How to visualize a classification tree in Python
  • How to prune a classification tree in Python
3. Working with Regression Trees
  • How to build a regression tree in Python
  • How to visualize a regression tree in Python
  • How to prune a regression tree in Python
Conclusion
  • Next steps with decision trees

Taught by

Frederick Nwanganga

Reviews

4.7 rating at LinkedIn Learning based on 383 ratings

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