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. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the;
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data into vectors and matrices for algorithmic processing Become familiar with the Anaconda distribution used in data science Apply machine;
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Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter;
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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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Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows;
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to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how;
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This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior;
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your own bespoke datasets Book DescriptionGet to grips with the skills you need for entry-level data science in this hands-on Python and;
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, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for;
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, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research;
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, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research;
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field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based;
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field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based;
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students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a;
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produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for;
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with these hands-on recipes * Implement end-to-end, large-scale data analysis better than ever before * Work with powerful libraries such as;
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The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;
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The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;
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This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten;
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doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level;
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end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an;
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and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the;
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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;
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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;
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-majors taking CS1 courses to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors;
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