Description: Applied Predictive Modeling, Paperback by Kuhn, Max; Johnson, Kjell, ISBN 1493979361, ISBN-13 9781493979363, Like New Used, Free shipping in the US
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 th’s R package.Price: 77.21 USD
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Book Title: Applied Predictive Modeling
Number of Pages: Xiii, 600 Pages
Language: English
Publication Name: Applied Predictive Modeling
Publisher: Springer New York
Publication Year: 2019
Subject: Biostatistics, Mathematical & Statistical Software, Probability & Statistics / General, Life Sciences / Biology
Type: Textbook
Item Weight: 32.9 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science, Medical
Author: Kjell Johnson, Max Kuhn
Item Width: 6.1 in
Format: Trade Paperback