Python Data Cleaning Cookbook. (Record no. 14300)
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| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250616163512.0 |
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| fixed length control field | 250616s||||||||||||||||o||||||||||| |d |
| 024 80 - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781803246291 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Michael Walker |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | Python Data Cleaning Cookbook. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-05-31. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-05-31 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 486. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.</b></p><h4>Key Features</h4><ul><li>Get to grips with new techniques for data preprocessing and cleaning for machine learning and NLP models</li><li>Use new and updated AI tools and techniques for data cleaning tasks</li><li>Clean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AI</li></ul><h4>Book Description</h4>Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes.<br/><br/>Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. he current edition focuses on advanced techniques like machine learning and AI-specific approaches and tools for data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI, and NLP models. You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, you’ll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, you’ll build functions and classes that you can reuse without modification when you have new data.<br/><br/>By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.<h4>What you will learn</h4><ul><li>Using OpenAI tools for various data cleaning tasks</li><li> Producing summaries of the attributes of datasets, columns, and rows</li><li>Anticipating data-cleaning issues when importing tabular data into pandas</li><li>Applying validation techniques for imported tabular data</li><li> Improving your productivity in pandas by using method chaining</li><li>Recognizing and resolving common issues like dates and IDs</li><li> Setting up indexes to streamline data issue identification</li><li>Using data cleaning to prepare your data for ML and AI models</li></ul><h4>Who this book is for</h4>This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data with practical examples.<br/><br/>Working knowledge of Python programming is all you need to get the most out of the book. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Data in extended ASCII character set. |
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| System details note | Mode of access: Internet. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | Python Data Cleaning Cookbook |
| Place, publisher, and date of publication | GB,Packt,2024-05-31 |
| Physical description | 486 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/472448">https://learning.packt.com/product/472448</a> |
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