An edition of Predictive analytics for dummies
(2013)
Predictive analytics for dummies
2nd edition.
by Anasse Bari
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Business today relies on effectively using data to predict trends and sales. Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board and more.
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Book Details
Table of Contents
Introduction. -- pt. 1.
Getting started with predictive analytics. Entering the arena ;
Predictive analytics in the wild ;
Exploring your data types and associated techniques ;
Complexities of data -- -- pt. 2.
Incorporating algorithms in your models. Applying models ;
Identifying similarities in data ;
Predicting the future using data classification -- -- pt. 3.
Developing a roadmap. Convincing your management to adopt predictive analytics ;
Preparing data ;
Building a predictive model ;
Visualization of analytical results -- -- pt. 4.
Programming predictive analytics. Creating basic prediction examples ;
Creating basic examples of unsupervised predictions ;
Predictive modeling with R ;
Avoiding analysis traps ; -- -- pt. 5.
Targeting big data
Getting ready for enterprise analytics -- pt. 6
The part of tens.
Ten reasons to implement predictive analytics ;
Ten steps to build a predictive analytic model.
Edition Notes
Includes index.
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- Created July 19, 2019
- 5 revisions
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| January 13, 2023 | Edited by ImportBot | import existing book |
| December 4, 2022 | Edited by ImportBot | import existing book |
| December 10, 2021 | Edited by PartnerCoverBot | Added new cover |
| September 19, 2021 | Edited by ImportBot | import existing book |
| July 19, 2019 | Created by MARC Bot | Imported from marc_openlibraries_sanfranciscopubliclibrary MARC record |