Web Reference: Jul 23, 2025 · Data Cleaning: Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. It is one of the important parts of machine learning. The goal of data cleaning and preprocessing is to guarantee that the data used for analysis is accurate, consistent, and relevant. It helps to improve the quality of the results and increase the efficiency of the analysis process. Feb 18, 2026 · Data cleaning ensures that the dataset becomes accurate, consistent, and reliable before further processing. Key tasks include: 👉 Goal: Make the dataset accurate, consistent, and reliable for...
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