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Textual Data Science with R

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written;

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Textual Data Science with R

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written;

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R 4 Data Science Quick Reference

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All;

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R 4 Data Science Quick Reference

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them;

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Beginning Data Science in R 4

Visualize and explore data, including working with large data sets found in big data Build an R package Test and check your code Practice;

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Hands-On Data Science with R

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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R Data Science Quick Reference

Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using;

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Data Science for Business With R

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course;

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Data Science Using Python and R

. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with;

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Doing Data Science in R

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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Data Science in Education Using R

does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;

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Data Science in Education Using R

does a data analysis project in education look like? If you're just getting started with R in an education job, this is the book you'll;

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Beginning Data Science in R 4

using statistics and the R programming language * Visualize and explore data, including working with large data sets found in big data;

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Programming Skills for Data Science

collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format;

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Analyzing Textual Information

how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional;

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R Data Science Essentials

dashboard using ggplot and R shiny In Detail With organizations increasingly embedding data science across their enterprise and with;

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Practical Data Science with R

Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science;

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A Tour of Data Science

, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.;

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A Tour of Data Science

analysts, and others who want to learn programming with R and Python from a data science perspective.;

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Practical Data Science With R

business questions. Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps;

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Data Science with Julia

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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Data Science with Julia

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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Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data

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Learn R for Applied Statistics

Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data;

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Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental;

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Quantitative Economics with R: A Data Science Approach

of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and;

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Text Analytics for Business Decisions

later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for;

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