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should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring;
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cleaning. In this book, we first discuss the goals of data cleaning. Often, the goals of data cleaning are not well defined and could mean;
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data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which;
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This is an overview of the end-to-end data cleaning process. Data quality is one of the most important problems in data management;
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As part of the best-selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of data cleaning to be;
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If you are a data scientist of any level, beginners included, and interested in cleaning up your data, this is the book for you! Experience;
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Find errors and clean up data easily using SASĀ®! Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses;
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Find errors and clean up data easily using SASĀ®! Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses;
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* Written for practitioners of data mining, data cleaning and database management. * Presents a technical treatment of data quality;
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real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft;
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cleaning, create effective visualizations, and extract insights from data using supervised predictive models.;
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Derived from protocols developed for the National Football League, Infection Prevention in Athletes outlines best practices and;
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project, this book examines the various attitudes and current cleaning practices, along with the role and need for analysis of substrates and;
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current cleaning practices, along with the role and need for analysis of substrates and soiling. It also offers advice on dealing with special;
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current cleaning practices, along with the role and need for analysis of substrates and soiling. It also offers advice on dealing with special;
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and tricks Key Features Get well-versed with various data cleaning techniques to reveal key insights Manipulate data of different;
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Now in its 6th Edition, this highly acclaimed textbook provides sanitation information needed to ensure hygienic practices and safe food;
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Now in its 6th Edition, this highly acclaimed textbook provides sanitation information needed to ensure hygienic practices and safe food;
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Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add;
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Standards for Reporting Data to Educators provides a synthesis of research and best practices of how data should be presented to educators;
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Cleaning Agents and Systems is the first volume in the Handbook for Critical Cleaning, Second Edition. Should you clean your product;
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Cleaning Agents and Systems is the first volume in the Handbook for Critical Cleaning, Second Edition. Should you clean your product;
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protect consumers' private information. These best practices would include making privacy the default setting for commercial data practices and;
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High-precision cleaning is required across many sectors, including aerospace, defense, medical device manufacturing, pharmaceutical;
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Think about your data intelligently and ask the right questions Key Features Master data cleaning techniques necessary to perform;
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