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1. *Data preprocessing*: Handle missing values, scale numerical features, and encode categorical variables. 2. *Machine learning model*: Train a robust model using historical data t
approval meets responsible AI—predicting eligibility and diagnosing bias to drive fairness in financial decision-making approval meets responsible AI—predicting eligibility and diagnosing bias
