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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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Data Science Using Python and R

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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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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R Data Science Essentials

basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you. What You Will Learn;

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A Hands-On Introduction to Data Science

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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Practical Data Science Cookbook -

understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement;

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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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Hands-On Data Science with Anaconda

brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages;

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Quantitative Social Science An Introduction

empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on;

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Quantitative Social Science

empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on;

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Statistics for Data Scientists

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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Python for Programmers

, contemporary examples. These include natural language processing, data mining Twitter (R) for sentiment analysis, cognitive computing with IBM (R;

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Data Science at the Command Line

comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line;

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Data Analysis With R

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this;

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The Essentials of Data Science Knowledge Discovery Using R Chapman HallCRC The R Series

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free;

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Machine Learning with R, tidyverse, and mlr

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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R 4 Data Science Quick Reference

is freely available on GitHub.. What You'll Learn Implement applicable R 4 programming language specification features Import data with readr;

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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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Machine Learning with R

quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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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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R Programming By Example

Book * Get a firm hold on the fundamentals of R through practical hands-on examples * Get started with good R programming fundamentals for;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Python for Data Science: A Hands-On Introduction

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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Practical Data Science with Hadoop and Spark

professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop (R) and Spark is your complete guide to;

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining;

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R for Data Science Cookbook

encountered while performing data analysis. Style and approach This easy-to-follow guide is full of hands-on examples of data analysis with R;

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