Course Outline

Module 1; Introduction to Machine Learning in BFSI

·         Overview of machine learning applications in finance

·         Key concepts and terminology

 Module 2; Supervised Learning for Banking

·         Building predictive models for credit scoring

·         Loan approval and risk assessment using supervised learning

Module 3; Unsupervised Learning in Finance

·         Clustering techniques for customer segmentation

·         Anomaly detection for fraud prevention

Module 4; Reinforcement Learning for Investment Strategies

·         Overview of reinforcement learning in finance

·         Designing algorithms for portfolio optimization

Module 5; Natural Language Processing (NLP) in Banking

·         Analyzing textual data for sentiment analysis

·         Implementing NLP for customer feedback and market trends

Module 6; Explainable AI in Financial Decision Making

·         Interpreting machine learning models for regulatory compliance

·         Ensuring transparency in decision-making