deal-dx.com
 
 
 
 
 
 
New arrivals Blogs 10 US$ Gadgets Amazon reviews Advertising Privacy statement
 
 
 
Management & Leadership
Management
Leadership
Decision-Making & Problem Solving
Negotiating
Systems & Planning
Mentoring & Coaching
Training
Project Management
Information Management
Planning & Forecasting
Quality Control & Management
Management Science
Production & Operations
Pricing
Consolidation & Merger
Motivational
Industrial
Strategy & Competition
Distribution & Warehouse Management
 
Price navigation
Any price
to 5 US$
5 to 10 US$
10 to 20 US$
20 to 30 US$
30 to 50 US$
Luxury
 
 
 

Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics)

SKU: 0133892069 (Updated 2023-01-11)
Price: US$ 76.99
 
 
Description

Master predictive analytics, from start to finish

 

Start with strategy and management

Master methods and build models

Transform your models into highly-effective code—in both Python and R

 

This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math.

 

Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value.

 

Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code.

 

If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more.

 

All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/

 

Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage.

 

Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have.

 

Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data.

 

You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights.

 

You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods.

 

Use Python and R to gain powerful, actionable, profitable insights about:

  • Advertising and promotion
  • Consumer preference and choice
  • Market baskets and related purchases
  • Economic forecasting
  • Operations management
  • Unstructured text and language
  • Customer sentiment
  • Brand and price
  • Sports team performance
  • And much more

 

 


EAN: 9780133892062


ISBN: 0133892069


Manufacturer: Pearson FT Press
 
We hope you love the products we recommend! All of products are independently selected by deal-dx editors. Just to let you know, deal-dx may collect a share of sales or other compensation from the links on this page if you decide to shop from them. As an Amazon Associate we earn from qualifying purchases. Prices are accurate and items in stock as of time of publication.
© deal-dx.com 2013        info(at)deal-dx.com
 
 
This website uses cookies for the correct display and functionality. Do you also want to take full advantage of the website and accept cookies?
About cookies. Accept cookies