Predictive Analytics For Dummies

By: Mohamed Chaouchi and Tommy Jung and Dr Anasse Bari

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Synopsis: Predictive Analytics For Dummies, 2e will help the you understand the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. You will learn how to incorporate algorithms through discovering data models, identifying similarities and relationships in your data, and how to predict the future through data classification. You will develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get stakeholder buy-in. The author will also address "soft" issues, including handling people, setting realistic goals, protecting budgets, making useful presentations, and more, to help the reader prepare for shepherding predictive analysis projects through their companies. Coverage will include: Real-world tips for creating business value Common use cases to help you get started Details on modeling, k-means clustering, and more How you can predict the future with classification Information on structuring your data Methods for testing models Hands-on guides to software installation Tips on outlining business goals and approaches