Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Machine Learning with Python: Decision Trees

via LinkedIn Learning

Go to class Write review

Details

Provider

LinkedIn Learning
Pricing

Free Trial Available
Languages

English
Certificate

Certificate Available
Duration & workload

1 hour 14 minutes
Sessions

On-Demand
Level

Intermediate

Found in

Part of

Develop with Python for AI and Machine Learning

Corporate Finance Institute

35% Off Finance Skills That Get You Hired - Code CFI35

Boot.dev

Learn Backend Development Part-Time, Online

Overview

Coursera Flash Sale

40% Off Coursera Plus for 3 Months!

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

Start your review of Machine Learning with Python: Decision Trees