ML Decision Tree Basics

Intermediate Level

01:15 hrs

What you will learn:

Define Decision Trees and their key components.Identify the advantages of using Decision Trees in ML.Construct a Decision Tree from scratch using real data.Apply split criteria to optimize Decision Tree performance.Explain the basic concepts of Machine Learning relevant to Decision Trees.

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150 edCoins bonus

1730 Enrolled

4.6 Rating

Skills you will gain

Decision TreesSplit CriteriaBuilding Decision TreesMachine Learning Concepts

Overview of Decision Trees

Building Decision Trees

ML Decision Tree Basics

Course Modules

1. Overview of Decision Trees31 mins60 Edcoins

2. Building Decision Trees44 mins90 Edcoins