Artificial Intelligence Models and Use Cases
Predicting Future Values
AI can be harnessed to predict the key values which help make more accurate, informed business decisions. In this course, you will explore regression analysis and how it can be used to predict numerical values.
Intermediate    10 Lessons    60 Minutes    CPD Credits
About This Course
Predictive AI models are incredibly helpful in decision making. In this course, you will learn the value of regression analysis as a predictive model.
You will explore the purpose and the utility of regression analysis for predicting values. You will examine which datasets are suitable for performing regression analysis. You will also evaluate some of the potential pitfalls that may occur when implementing regression analysis.
By the end of this course, you will have a solid understanding of regression techniques, how and when they should be implemented and how helpful they can be in making tough business decisions.
Learning Outcomes
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Outline the purpose of regression analysis in predicting values
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Find datasets that are suitable for regression analysis
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Interpret a regression equation
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Understand the impact of different predictors
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Evaluate the predictive power of a regression model
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Explain the data requirements of regression analysis
- Discuss the pitfalls of regression analysis
Lessons
1. Introducing Prediction with Regression
2. Values Used in Regression
4. Determining the Relationships
5. Analyzing a Regression Equation
6. Understanding the Impact of Predictors
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7. Evaluating Predictive Strength
8. Data Requirements for Prediction
9. Additional Data Requirements
10. Pitfalls of Regression
Learning Certificates
Showcase Your Skills
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