Mertz, David
Cleaning Data for Effective - Data Science: Doing the - other 80% of the work - with Python, R, and - command - line tools
- ISBN 13:
- 9781801071291
- author:
- Mertz, David
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2021
- Pages:
- 498
- Dimensions:
- 23.5 x 19.1 x 2.5 centimetres (0
- Genre:
- Computers, Computer Science, Data Modeling,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Mastering data cleaning is essential for successful data science and machine learning. This comprehensive guide provides you with the insights and heuristics experienced data scientists have learned the hard way, arming you with the skills to tackle real-world data analysis tasks.
David Mertz takes a light-hearted approach to teaching you the ins and outs of data preparation using Python, R, and common command-line tools. You'll learn how to handle data ingestion, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features.
The book includes detailed exercises at the end of each chapter, allowing you to get hands-on with the skills you've acquired along the way. This makes it a valuable resource for both beginners and those looking to refresh their knowledge.
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