Learn the intricacies of data description, issue identification, and practical problemsolving, armed with essential techniques and expert tips.Key Features Get to grips with new techniques for data preprocessing and cleaning for machine learning and NLP models Use new and updated AI tools and techniques for data cleaning tasks Clean, monitor, and validate large data volumes to diagnose problems using cuttingedge methodologies including Machine learning and AIBook DescriptionJumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook will show you tools and techniques for cleaning and handling data with Python for better outcomes.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. The current edition emphasizes advanced techniques like machine learning and AIspecific approaches and tools to 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 youve identified. Next, youll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate...

Binding: Paperback;486 pages; Publisher: Packt Publishing; Classification: N/A; Weight: 949.17 g; Dimensions: N/A

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