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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
Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta你有多喜歡這本書?
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Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples in the two most popular programming languages for data analysis - R and Python.
年:
2014
出版商:
Packt Publishing
語言:
english
頁數:
396
ISBN 10:
1783980249
ISBN 13:
9781783980246
文件:
PDF, 5.19 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2014
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