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Applied Predictive Modeling

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Cover of 'Applied Predictive Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 A Short Tour of the Predictive Modeling Process
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    Chapter 3 Data Pre-processing
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    Chapter 4 Over-Fitting and Model Tuning
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    Chapter 5 Measuring Performance in Regression Models
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    Chapter 6 Linear Regression and Its Cousins
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    Chapter 7 Nonlinear Regression Models
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    Chapter 8 Regression Trees and Rule-Based Models
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    Chapter 9 A Summary of Solubility Models
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    Chapter 10 Case Study: Compressive Strength of Concrete Mixtures
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    Chapter 11 Measuring Performance in Classification Models
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    Chapter 12 Discriminant Analysis and Other Linear Classification Models
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    Chapter 13 Nonlinear Classification Models
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    Chapter 14 Classification Trees and Rule-Based Models
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    Chapter 15 A Summary of Grant Application Models
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    Chapter 16 Remedies for Severe Class Imbalance
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    Chapter 17 Case Study: Job Scheduling
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    Chapter 18 Measuring Predictor Importance
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    Chapter 19 An Introduction to Feature Selection
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    Chapter 20 Factors That Can Affect Model Performance
Attention for Chapter 10: Case Study: Compressive Strength of Concrete Mixtures
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