AI-Powered Credit Scoring Platform for Underwriting Decisions

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About Course

  • Tools & Languages: Python, R, SQL, Scikit-learn, Pandas, TensorFlow, Flask, React, Power BI
  • Objective: Develop an AI-powered credit scoring platform to automate underwriting decisions for loan approvals. Use machine learning models to analyze customer creditworthiness and generate scores based on financial behavior and historical data. Build a user-friendly interface for loan officers to access credit reports and risk assessments.
  • Skills Needed: Credit scoring algorithms, machine learning (Python, R), underwriting models, full-stack development (Flask, React), visualization (Power BI), database management (SQL).

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