Understanding Data Science and Data Analysis Life Cycle
Pickl AI
MAY 30, 2024
This crucial stage involves data cleaning, normalisation, transformation, and integration. By addressing issues like missing values, duplicates, and inconsistencies, preprocessing enhances data quality and reliability for subsequent analysis. Data Cleaning Data cleaning is crucial for data integrity.
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