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## Book Description

1. Acknowledgments
4. Part 1 Introduction
1. Chapter 1 Introduction
2. Chapter 2 An Overview of the Business Analytics Process
1. Introduction
2. Commonly Used Process Models
4. Conclusion
5. References
5. Part 2 Preparing for Modeling
1. Chapter 3 Working with Data
1. Introduction
2. JMP Basics
3. Exercises
4. References
6. Part 3 Model Building
1. Chapter 4 Multiple Linear Regression
1. In the News
3. Preview of End Result
4. Looking Inside the Black Box: How the Algorithm Works
5. Example 1: Housing Prices
6. Example 2: Bank Revenues
7. Exercises
8. References
2. Chapter 5 Logistic Regression
1. In the News
3. Preview of the End Result
4. Looking Inside the Black Box: How the Algorithm Works
5. Example 1: Lost Sales Opportunities
6. Example 2: Titanic Passengers
7. Summary
8. Key Take-Aways and Additional Considerations
9. Exercises
10. References
3. Chapter 6 Decision Trees
1. In the News
3. Preview of the End Result
4. Looking Inside the Black Box: How the Algorithm Works
5. Other General Modeling Considerations
6. Example 1: Credit Card Marketing
7. Example 2: Printing Press Yield
8. Summary
9. Exercises
10. References
4. Chapter 7 Neural Networks
1. In the News
3. Measuring Success
4. Preview of the End Result
5. Looking Inside the Black Box: How the Algorithm Works
6. Example 1: Churn
7. Example 2: Credit Risk
8. Summary and Key Take-Aways
9. Exercises
10. References
7. Part 4 Model Selection and Advanced Methods
1. Chapter 8 Using Cross-Validation
1. Overview
2. Why Cross-Validation?
3. Partitioning Data for Cross-Validation
4. Example
5. Key Take-Aways
6. Exercises
7. References
1. Overview
4. Boosted Neural Network Models
5. Generalized Regression Models
6. Key Take-Aways
7. Exercises
8. References
3. Chapter 10 Capstone and New Case Studies
1. Introduction
2. Case Study 1: Cell Classification
3. Case Study 2: Blue Book for Bulldozers (Kaggle Contest)
4. Case Study 3: Default Credit Card, Presenting Results to Management
5. Case Study 4: Carvana (Kaggle Contest)
6. Exercises
7. References
8. Appendix
9. Index