GitHub - wayofrahul/Data-Preprocessing: Built a complete data preprocessing pipeline on a real-world Loan dataset using Python, Pandas, and NumPy. Performed data loading, cleaning, handling missing values, duplicate removal, encoding, feature scaling, outlier detection, and transformation techniques to prepare structured and high-quality data for machine learning models.

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Built a complete data preprocessing pipeline on a real-world Loan dataset using Python, Pandas, and NumPy. Performed data loading, cleaning, handling missing values, duplicate removal, encoding, feature scaling, outlier detection, and transformation techniques to prepare structured and high-quality data for machine learning models.