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This project automates the data cleaning process — a crucial step before any data analysis or machine learning task. It handles missing values, removes duplicates, and detects outliers using the Interquartile Range (IQR) method. The tool ensures data consistency and quality, making it ready for further analysis or model training.
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This project automates the data cleaning process — a crucial step before any data analysis or machine learning task. It handles missing values, removes duplicates, and detects outliers using the Interquartile Range (IQR) method. The tool ensures data consistency and quality, making it ready for further analysis or model training.
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