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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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R Primer Chapman HallCRC The R Series

of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems;

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R Data Science Essentials

Learn the essence of data science and visualization using R in no time at all About This Book * Become a pro at making stunning;

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Mathematical Foundations of Data Science Using R

The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time;

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Data Science Using Python and R

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread;

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Univariate Bivariate & Multivariate Stat

resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical;

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Essentials of MATLAB (R) Programming, International Edition

Now you can master the MATLAB language as you learn how to use it effectively to solve typical problems with ESSENTIALS OF MATLAB (R;

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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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Hands-On Time Series Analysis with R

series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Discovering Statistics Using R

The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using;

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R 4 Data Science Quick Reference

, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data;

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R 4 Data Science Quick Reference

, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights;

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

data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data;

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Hands-On Data Science with Anaconda

, you'll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting;

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Beginning Data Science in R 4

number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern;

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R Data Analysis Cookbook -

Over 80 recipes to help you breeze through your data analysis projects using R About This Book * Analyse your data using the popular R;

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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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R for Data Science

of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.;

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R Data Science Quick Reference

. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R;

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Essentials of Data Science and Analytics

, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R;

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Statistical Data Analytics

introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are;

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Spatial Data Analysis in Ecology and Agriculture Using R

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;

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Practical Time Series Forecasting with R

the acquired knowledge using real data - End-of-chapter problems to facilitate active learning - A companion site with data sets, R code;

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Beginning Data Science in R 4

github.com/Apress/beg-data-science-r4. What You Will Learn Perform data science and analytics using statistics and the R programming language;

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Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics

Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning;

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R Programming By Example

data science * Exploit the different libraries of R to build interesting applications in R Who This Book Is For This books is for aspiring;

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