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Description

Applied Predictive Modeling by Springer provides a comprehensive guide to the entire predictive modeling process. This text begins with essential steps such as data preprocessing, data splitting, and foundations of model tuning to prepare you for complex analysis. Readers receive intuitive explanations of numerous common and modern regression and classification techniques. The content focuses on solving real data problems through hands-on, real-life examples. To support practical application, every chapter includes extensive R code for each step of the process. This multi-purpose text serves as an excellent introduction to the field, making it a valuable resource for anyone studying computing and internet subjects.

Key Features

Applied Predictive Modeling covers the full modeling process from data preprocessing to model tuning.

The text provides intuitive explanations for many common and modern regression and classification techniques.

Each chapter includes extensive R code to help you implement every step of the process.

Real-life examples are used throughout the book to illustrate how to solve real data problems.

This Springer publication serves as a multi-purpose introduction to predictive modeling techniques.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 March 2019
Listed Since
20 December 2018

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No barcode data available

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