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applied predictive analytics by dean abbott pdf
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"Applied Predictive Analytics" by Dean Abbott is a comprehensive guide to the practical application of predictive analytics in business settings. Abbott, a renowned data mining expert, provides a detailed overview of the key concepts and techniques used in predictive analytics, as well as real-world case studies and examples to illustrate how these methods can be effectively implemented. The book covers a wide range of topics, including data preparation, feature selection, model building, evaluation, and deployment. Abbott explains how predictive analytics can be used to solve a variety of business problems, such as customer segmentation, churn prediction, fraud detection, and sales forecasting. By following the step-by-step instructions and best practices outlined in the book, readers will learn how to leverage predictive analytics to gain valuable insights from their data and make informed decisions that drive business success. Overall, "Applied Predictive Analytics" is a valuable resource for anyone looking to harness the power of predictive analytics to drive innovation and improve business outcomes.