Predictive analytics for dummies / by Anasse Bari, Ph.D., Mohamed Chaouchi, and Tommy Jung.

Author/creator Bari, Anasse
Other author Chaouchi, Mohamed.
Other author Jung, Tommy.
Format Electronic
Edition2nd edition.
Publication InfoHoboken, NJ : John Wiley and Sons, [2017]
Descriptionviii, 443 pages : illustrations ; 24 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Series--For dummies
--For dummies. ^A417595
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.
Abstract 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.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2016951998
ISBN9781119267003
ISBN1119267005

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