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can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations;
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* Leveraging the flexibility and modularity of R to experiment with a range of different techniques and data types * Packed with practical advice and;
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methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You'll;
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with a programming language of R is expected. What You Will Learn * Master the core predictive analytics algorithm which are used today;
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Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models-regression, time series;
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techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic;
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model that data. You'll learn how to model data conceptually, with words and figures; and then how to model it with realistic R programs that;
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Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power;
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with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It;
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analytics and visualization with the power of R using this step-by-step guide * Wondering how R can be used with Tableau? This book is your one;
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Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book * Master;
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advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples;
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advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples;
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, caring theory, Relationship-Based Care (R), the Caring Behaviors Assurance System (c), and healthcare operations, including how to build a;
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A high-level, informal look at the different stages of the predictive analytics cycle Understanding ;...
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-to-end predictive analytics projects Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations;
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learning, and artificial intelligences. This book provides the most recent advances in the field along with case studies and real-world examples.;
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of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied;
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Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About;
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Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics;
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Master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS: A PRACTICAL INTRODUCTION TO BUSINESS;
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Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS;
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from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses;
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from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses;
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Building Better Models with JMP(r) Pro provides an example-based introduction to business analytics, with a proven process that guides you;
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This book introduces predictive analytics in sports and discusses the relationship between analytics;...
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