Walker, Michael

Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

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ISBN 13:
9781800565661
author:
Walker, Michael
format:
Paperback / softback
publisher:
Packt Publishing Limited
language:
English
Publication Year:
2020
Pages:
436
Dimensions:
23.5 x 19.1 x 2.3 centimeters (0
Genre:
Computers, Computer Science, Data Modeling,
Condition:
New
Availability:
Item usually sent within 5 working days
£45.77

Description

Python Data Cleaning Cookbook: Mastering Modern Techniques and Tools for Clean Data Analysis Discover how to transform your data into valuable insights with this comprehensive guide to data cleaning using Python. By applying the techniques and tools outlined in this book, you'll learn to identify and remove dirty data, manipulate complex datasets, and gain a deeper understanding of your business needs. You'll start by getting familiar with common data cleaning practices, then move on to manipulating data to get it into a useful form. The book covers key tasks such as handling missing values, validating errors, removing duplicates, and monitoring large volumes of data. You'll also learn how to use supervised learning and Naive Bayes analysis to identify unexpected values and classification errors. By the end of this Python cookbook, you'll be equipped with the skills needed to clean data, diagnose problems, and extract valuable insights from your datasets.

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