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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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Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About;
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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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Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive;
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Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).;
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producing more accurate predictions. Prior knowledge of Python and familiarity with predictive analytics concepts are assumed.;
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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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This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real;
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This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real;
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? of machine learning-machine learning on the cloud-with this unique guide * Create web services that allow you to perform affordable and fast machine;
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the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and;
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to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with;
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science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft;
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vast gigabytes of data. Style and Approach This book takes a practical hands-on approach wherein the algorithms will be explained with the;
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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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-world examples on training end-to-end machine learning systems in Python Book DescriptionPython's ease of use and multi-purpose nature has led;
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Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide;
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Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;
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on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills;
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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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. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts;
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Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine;
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elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.;
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