R: Predictive Analysis. Master the art of predictive modeling
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Dostępne formaty:
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PDFePubMobi
Opis
książki
:
R: Predictive Analysis. Master the art of predictive modeling
The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. This Learning Path will provide you with all the steps you need to master the art of predictive modeling with R.
We start with an introduction to data analysis with R, and then gradually you’ll get your feet wet with predictive modeling. You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. You will be able to solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. You will then perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. By the end of this Learning Path, you will have explored and tested the most popular modeling techniques in use on real-world data sets and mastered a diverse range of techniques in predictive analytics.
This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
• Data Analysis with R, Tony Fischetti
• Learning Predictive Analytics with R, Eric Mayor
• Mastering Predictive Analytics with R, Rui Miguel Forte
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Eric Mayor, Tony Fischetti, Rui Miguel Forte - pozostałe książki
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Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With over 7,000 user contributed packages, it-
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R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples.-
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R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Updated with revamped examples and to the latest version of R, this book is designed to be both a guide and a reference for moving beyond the basics of predictive modeling.-
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The R learning path created for you has five connected modules, which are a mini-course in their own right. As you complete each one, you'll have gained key skills and be ready for the material in the next module!This course begins by looking at the Data Analysis with R module. This will help you navigate the R environment. You'll gain a thorough u-
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329.00 zł (-91%) -
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This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data.You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on-
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-
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- PDF + ePub + Mobi pkt
(134,10 zł najniższa cena z 30 dni)
29.90 zł
159.00 zł (-81%) -
Szczegóły książki
- Tytuł oryginału:
- R: Predictive Analysis. Master the art of predictive modeling
- ISBN Ebooka:
- 978-17-882-9037-1, 9781788290371
- Data wydania ebooka :
-
2017-03-31
Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna
z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie.
Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
- Język publikacji:
- angielski
- Rozmiar pliku Pdf:
- 13.6MB
- Rozmiar pliku ePub:
- 24.5MB
- Rozmiar pliku Mobi:
- 39.5MB
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