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Data Preprocessing Essentials by Althea Nicole Gino Muring is a document available to read on EtoBox.

What is Data Preprocessing Essentials about?

The document discusses data preprocessing which involves cleaning, formatting, and transforming raw data into a suitable format for analysis or model training. It is important as it ensures data quality, handles real-world challenges, enhances interpretability, and optimizes data for effective analysis. The four steps are data cleaning, data integration, data transformation, and data reduction. Data cleaning is preparing data by removing or modifying incorrect, incomplete, irrelevant, duplicated, or imprope

Author

Althea Nicole Gino Muring

Language

EN