Finance and Risk Analytics Project: Predicting credit default risk using machine learning models (Logistic Regression, Random Forest) and assessing stock market risk through historical returns and volatility analysis to guide financial risk management and investment strategies.
Financial Risk Analysis identifies and mitigates threats to financial stability, including market volatility, credit risk, and operational failures, using data models and regulatory strategies to protect investments and drive growth.
Finance and Risk Analytics (FRA) - -Credit-Default-Prediction-and-Stock-Market-Risk-Analysis
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