Part 3

Model Building

Chapter 4    Multiple Linear Regression   

Chapter 5    Logistic Regression   

Chapter 6    Decision Trees

Chapter 7   Neural Networks

In Part III we introduce four foundational modeling methods: Multiple Linear Regression, Logistic Regression, Decision Trees and Neural Networks. In each chapter we identify business use cases for the particular modeling method, take a look “under the hood” at some of the technical details behind the method, and provide two case studies involving application of the method to a business problem. Each chapter also includes a number of exercises.

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