Logistic regression is one of the most widely used predictive modelling techniques. In this book we will learn how to use logistic regression to aid decision making.

We will use data from our favourite sport, Cricket to illustrate the application of logistic regression in decision making situations.



Introduction
Beginner's guide to logistic regression
using R & Excel
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Preface
Introduction
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chapter 1
Problem definition
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chapter 2
Data exploration
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chapter 3
Data Preparation
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chapter 4
Descriptive analytics
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chapter 5
Predictive modelling
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chapter 6
Interpreting the output
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chapter 7
Model validation
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Authors
Contributing Authors
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HOW WILL THIS GUIDE HELP ME?

The purpose of this guide is to demonstrate a step-by-step approach to data analysis using data from the sport of Cricket. You will learn how to handle a data set, how to become intimate with it, run descriptive analytics and build predictive models using logistic regression on it, and draw insights from the results to guide you decisions.


HOW DO I USE THIS GUIDE?

The data set analyzed in this guide is available for free download. In order to get the full benefit from this guide, you should download this data set and perform the steps illustrated in each Chapter before moving on to the next one.