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Artificial Intelligence Models and Use Cases

Predicting Scenarios

Not all business decisions relate to numbers. In this course, you can expand the range of your predictive modelling capabilities, using classification to predict scenarios with a limited number of outcomes.

Intermediate        9 Lessons        60 Minutes        CPD Credits
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About This Course

AI can be used to predict more than just numbers. In this course, you will explore how scenarios can be predicted using classification techniques.

You will learn about decision trees, how they are grown and which variables they use. You will compare the outputs of multiple decision trees. You will also evaluate a tree using a confusion matrix.

By the end of this course, you will have an appreciation for how scenarios can be predicted using AI, even when working with a limited number of values.

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Learning Outcomes

  • Outline problems that can be solved using classification techniques
  • Explain how a decision tree makes predictions
  • Select the input variables for a decision tree
  • Explain how a decision tree is grown
  • Compare the outputs of multiple decision trees
  • Evaluate a tree using a confusion matrix
  • List some models that develop multiple decision trees

Lessons

1. Predicting Using Classification
2. Introducing Decision Trees
3. Understanding Decision Tree Data
4. Selecting Input Variables
5. Growing the Tree
6. Pruning the Tree

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7. Analyzing the Decision Tree Structure
8. Studying the Confusion Matrix
9. Extending a Decision Tree
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