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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5

(ebook) (audiobook) (audiobook) Książka w języku angielskim
R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5 Francisco Juretig - okladka książki

R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5 Francisco Juretig - okladka książki

R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5 Francisco Juretig - audiobook MP3

R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5 Francisco Juretig - audiobook CD

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448
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R is a popular programming language for developing statistical software. This book will be a useful guide to solving common and not-so-common challenges in statistics. With this book, you'll be equipped to confidently perform essential statistical procedures across your organization with the help of cutting-edge statistical tools.

You'll start by implementing data modeling, data analysis, and machine learning to solve real-world problems. You'll then understand how to work with nonparametric methods, mixed effects models, and hidden Markov models. This book contains recipes that will guide you in performing univariate and multivariate hypothesis tests, several regression techniques, and using robust techniques to minimize the impact of outliers in data.You'll also learn how to use the caret package for performing machine learning in R. Furthermore, this book will help you understand how to interpret charts and plots to get insights for better decision making.

By the end of this book, you will be able to apply your skills to statistical computations using R 3.5. You will also become well-versed with a wide array of statistical techniques in R that are extensively used in the data science industry.

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O autorze książki

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.

Packt Publishing - inne książki

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