Detailed overview of data cleaning, transformation, integration, reduction, and discretization for effective data preparation
Practical examples and case studies from various industries to illustrate key concepts
Step-by-step techniques for handling missing values, outliers, and irrelevant data
Examination of tools and technologies available for data preprocessing
Insight into challenges and emerging trends in the field of data preprocessing
Summarized by Shop
Data Preprocessing: Optimizing Data Quality and Structure for Effective Analysis and Machine Learning is a comprehensive guide to the process of preparing data for analysis and machine learning. With the exponential growth of data in today's world, effective data preprocessing has become a critical step in the success of any data analysis
Format
E-Book
Language
English
Genre
Technology, Education
Target Audience
Adults
Content
Data preprocessing techniques, tools, and case studies
