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Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools. Code by David Mertz; Safari, an O'Reilly Media Company is a nonfiction available to read on EtoBox.

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Code Think about your data intelligently and ask the right questions Key Features Master data cleaning techniques necessary to perform real-world data science and machine learning tasks Spot common problems with dirty data and develop flexible solutions from first principles Test and refine your newly acquired skills through detailed exercises at the end of each chapter Book Description Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way. In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with. Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll l

Who reads Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools. Code?

Author

David Mertz; Safari, an O'Reilly Media Company

Publisher

Packt Publishing, Limited

Published

2021

Language

EN

ISBN

9781801074407

Category

nonfiction

Subjects

Science, Management, Biology