Data Preprocessing, Ethical Implication, and Risk Analysis in Credit Risk Assessment Using Machine Learning
Introduction In the field of machine learning (ML), data forms the foundational bedrock on which predictive models are built. The quality and integrity of data are key in ML projects, and more so for sensitive sectors such as finance, given that their outcomes may have effects on stakeholders. In this paper, I reflect on the ... Read More
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