Updated to latest Python versions and tools for up-to-date knowledge and compatibility
Advanced techniques for data preprocessing and cleaning specifically for machine learning and NLP models
Recipes for using supervised learning and Naive Bayes to identify and correct errors
Visualizations for exploratory data analysis to diagnose data issues
Reusable code functions and classes for efficient, maintainable data cleaning
Learn the intricacies of data description, issue identification, and practical problem-solving, 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, mon
Format
E-Book
Language
English
Target Audience
Python developers, data scientists, ML/NLP practitioners
