joelowj / Machine Learning And Reinforcement Learning In Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
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Machine-Learning-and-Reinforcement-Learning-in-Finance
Guided Tour of Machine Learning in Finance
- Euclidean Distance Calculation
- Linear Regression
- Tobit Regression
- Bank defaults prediction using FDIC dataset
Fundamentals of Machine Learning in Finance
- Random Forests And Decision Trees
- Eigen Portfolio construction via PCA
- Data Visualization with t-SNE
- Absorption Ratio via PCA
Reinforcement Learning in Finance
- Discrete-time Black Scholes model
- QLBS Model Implementation
- Fitted Q-Iteration
- IRL Market Model Calibration
Overview of Advanced Methods of Reinforcement Learning in Finance
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