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Publisher's Summary

Predictive modeling uses statistics in order to predict outcomes. However, predictive modeling can be applied to events regardless of time of occurrence. When it comes to the applications of predictive modeling, techniques are used in various fields including algorithmic trading, uplift modeling, archaeology, health care, customer relationship management, and many others. This book covers the predictive modeling process with fundamental steps of the process, data preprocessing, data splitting and crucial steps of model tuning and improving model performance.

Further, the book will introduce you to the most common classification and regression techniques including logistic regression which is widely used when it comes to the finding the probability of event success or event failure. You will get to know the common predictive modeling techniques as well such as stepwise regression, polynomial regression, and ridge regression which will help you when you are dealing with the data that suffers from very common multicollinearity where independent variables are highly correlated.

What you will learn in Applied Predictive Modeling:

  • Most common predictive modeling techniques
  • Types of regression models
  • The overall predictive modeling process
  • Fundamental steps to effective and highly accurate predictive modeling
  • How to build predictive model with logistic regression with code listings
  • How to build predictive model using Python
  • How to enhance your model performance
  • Parameters for increasing the overall predictive power
  • How to handle class imbalance
  • Common causes of poor model performance

Listen to this book now and learn more about applied predictive modeling!

©2017 Steven Taylor (P)2017 Steven Taylor

What members say

Average Customer Ratings

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  • Overall
    5 out of 5 stars
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    5 out of 5 stars

5/5 great Grab..

The book will introduce you to the most common classification and regression techniques including logistic regression which is widely used when it comes to the finding the probability of event success or event failure..
Highly suggest It...

  • Overall
    5 out of 5 stars
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    5 out of 5 stars

I found it so informative..

The author describes the science behind the models and includes some problems involved in using these models as well as some methods for overcoming them.

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Nice narration! I like it! I bought this audiobook

The book is clear, concise, and relatively comprehensive. Worth my time and money. The examples are very interesting with clear discussions. The author and translator have done great job in making complicated topic approachable.

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    5 out of 5 stars
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Just what I was looking for!

It is a very good book easy to listen and follow but I found that is necessary to all who in need of this topic..

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    5 out of 5 stars
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Comprehensive!!

Excellent insights on the strengths and weaknesses of traditional Applied Predictive Modeling..
HIGHLY RECOMMENDED BOOK..
HELPFUL BOOK...

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    5 out of 5 stars
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The topic was great ...

This book has been a great Listen. Covers all the fundamentals and walks you through the problems step by step. Highly recommended!

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a great story, a great performer, a great time..

A good practical introduction to predictive modeling and machine learning. It covers most important topics in predictive modeling. One reason why I recommend this book is that it contains several case studies demonstrating how to apply machine learning to solve real-world problems

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Author Nailed it...

Excellent book. For the practitioner it is a valuable reference book to pull off the shelf for the myriad of models presents. For the novice, it will allow one to get quickly acclimated to applied modeling with a case based approach. Some caveats: R specific and the theoretical aspects are not too deeply discussed. Both caveats are addressed upfront by the Author.

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    5 out of 5 stars

Excellent book!

There are a number of examples utilizing quantitative and qualitative attributes with tips on how best to preprocess each followed by an explanation of how to apply certain models to particular problems within R. Both qualitative and quantitative targets get substantial treatment in the book, as does the process of measuring and comparing model performance in each instance.

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Recommended!

Applied Predictive Modeling is one of the few good examples where the word applied is aptly used for a book title. Like other texts on predictive modeling, the material in this book covers the why, but more importantly the authors detail the how-to in the predictive modeling process.

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  • lAYANA
  • 03-26-18

NICE BOOK TO HAVE

Very nice book with lots of useful information and enough case studies and learning materials. Best book.

  • Overall
    4 out of 5 stars
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  • sana
  • 03-26-18

Good

The book is very well categorized into several sections and each section contains chapters related to various aspects of Applied Predictive.

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    5 out of 5 stars
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  • Asif
  • 03-26-18

perfect book

I would definitely recommend this book to everyone interested in learning about
Applied Predictive Modeling from scratch and would say it is the best resource available among all other Applied Predictive Modeling books.

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    5 out of 5 stars
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  • Ajmal
  • 03-25-18

Inspiring book

Useful for people with basic engineering or technical skills as an introduction to different techniques and use cases for data science

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    5 out of 5 stars
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  • Rakson
  • 03-23-18

Informative book

This is my favorite book it is full of important information and it's always clear to understand the voice of the narrator, highly suggested.

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    5 out of 5 stars
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  • Aaron
  • 03-23-18

Amazing

Amazing 😁⚡😁⚡ really interesting and my rate it 5/5 because it was really good and was written like a classic.

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    5 out of 5 stars
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  • Shiba
  • 03-23-18

Different book

The kind of information that can make a difference in your decision making. Good style of writing and voice. I enjoyed it.

  • Overall
    5 out of 5 stars
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  • Ajmal
  • 03-23-18

Excellent book

I like the book, everyone raves about it for good reason. I found the narrator really annoying but pushed through it - very useful and highly recommended.

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    5 out of 5 stars
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  • Jami
  • 03-23-18

Works best

Just started listening to this audiobook and I'm very excited to start learning. I purchased another book in the past that I did not like. The information was very hard and I just lost interest.This book seems to focus on simple information.

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    5 out of 5 stars
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  • Ajmal
  • 03-21-18

Works best

Inspiring, engaging and very interesting. Excellent narrative uses data and information from a variety of sources to make objective points.