Datanalysis Credit Risk
github/awesome-copilotThis skill helps you clean credit data before building a loan risk model. It checks data quality and removes bad features. Credit risk modeling needs clean data to work well. The pipeline steps include handling missing values, removing low-value variables, and eliminating features that change too much. It also removes noise and highly correlated variables. At the end, it creates a cleaning report with all the details. Anyone working with pre-loan modeling can benefit from this automated process.
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