---
product_id: 1700702
title: "Applied Predictive Modeling"
price: "Q1983"
currency: GTQ
in_stock: true
url: https://guatemala.desertcart.com/products/1700702-applied-predictive-modeling
store_origin: GT
region: Guatemala
---

# 2014 Technometrics Ziegel Prize winner Extensive R code examples 20+ real-world datasets Applied Predictive Modeling

**Price:** Q1983
**Availability:** ✅ In Stock

## Summary

> 📈 Unlock predictive power with the pro’s playbook — don’t get left behind!

## Quick Answers

- **What is this?** Applied Predictive Modeling
- **How much does it cost?** Q1983 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [guatemala.desertcart.com](https://guatemala.desertcart.com/products/1700702-applied-predictive-modeling)

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- Customers looking for quality international products

## Why This Product

- Free international shipping included
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## Key Features

- • **Award-Winning Practicality:** Winner of the prestigious 2014 Technometrics Ziegel Prize for outstanding applied methodology.
- • **Bridge Theory and Practice:** Balanced coverage of essential theory with actionable techniques for professional-grade models.
- • **Code-First Approach with R:** Leverage comprehensive, ready-to-run R scripts that accelerate your data science workflow.
- • **Stay Ahead in Data Science:** Tackle class imbalance, model tuning, and variable importance like a seasoned analyst.
- • **Master Real-World Predictive Modeling:** Dive into 20+ diverse datasets from pharma to concrete strength for hands-on learning.

## Overview

Applied Predictive Modeling is a critically acclaimed, prize-winning textbook that expertly blends practical data science with foundational theory. Featuring over 20 real-world datasets and extensive R code, it guides advanced undergraduates, graduate students, and professionals through the entire predictive modeling pipeline—from preprocessing to model tuning—using modern regression and classification techniques. Ideal for those with basic R knowledge, this book is a must-have reference for mastering applied predictive analytics across diverse industries.

## Description

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

## Features

- Used Book in Good Condition

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #433,192 in Books ( See Top 100 in Books ) #13 in Biostatistics (Books) #35 in Mathematical & Statistical Software |
| Customer Reviews | 4.6 out of 5 stars 326 Reviews |

## Images

![Applied Predictive Modeling - Image 1](https://m.media-amazon.com/images/I/51uPU0o8nJL.jpg)

## Frequently Bought Together

- Applied Predictive Modeling
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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*Product available on Desertcart Guatemala*
*Store origin: GT*
*Last updated: 2026-11-13*