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programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each;
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open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist the hottest job in America;
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The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;
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Software Implementation Illustrated with R and Python About This Book * Learn the nature of data through software which takes the;
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leveraging the capabilities of R and Python. If you are a business analyst, data analyst, or a data scientist who wants to push Power BI and;
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in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning;
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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
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base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;
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on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with;
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understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement;
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common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and;
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of network science Leverage the power of Python and NetworkX to represent data as a network Apply common techniques for working with network data;
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wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding;
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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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Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data;
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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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scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data;
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, depending on your needs Obtain quick results Who This Book Is For SAS users, SAS programmers, data scientists, data scientist leaders, and Python;
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The latest in modern Python recipes for the busy modern programmer About This Book * Develop succinct, expressive programs in Python;
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worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R;
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The professional programmer's Deitel (R) guide to Python (R) with introductory artificial intelligence case studies Written for;
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Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming;
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Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist;
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This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical;
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