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Applied Predictive Modeling (Paperback, Softcover reprint of the original 1st ed. 2013)
Loot Price: R1,599
Discovery Miles 15 990
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Applied Predictive Modeling (Paperback, Softcover reprint of the original 1st ed. 2013)
Expected to ship within 12 - 17 working days
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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.
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