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Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python by Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta is a nonfiction available to read on EtoBox.

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89 hands-on recipes to help you complete real-world data science projects in R and Python About This Book Learn about the data science pipeline and use it to acquire, clean, analyze, and visualize data Understand critical concepts in data science in the context of multiple projects Expand your numerical programming skills through step-by-step code examples and learn more about the robust features of R and Python Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of data science projects, the steps in the data science pipeline, and the programming examples presented in this book. Since the book is formatted to walk you through the projects with examples and explanations along the way, no prior programming experience is required. In Detail As increasing amounts of data is generated each year, the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data

Who reads Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python?

Author

Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta

Publisher

Packt Publishing - ebooks Account

Published

2014

Language

EN

ISBN

9781783980253

Category

nonfiction

Subjects

Computer Science, Science, Programming