Axel Nilsson's repositories
Financial-Mathematics-Notebooks
Notebooks in financial mathematics. Ranging from risk management to portfolio management and stochastic processes for financial markets.
Bayesian-Methods
Bayesian statistics applied to practical problems. Including single parameter models, Bayesian regression and MCMC methods. Based on labs in Bayesian Statistics at Liu.
Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Language:Jupyter NotebookGPL-3.0000
Machine-Learning-Notebooks
Notebooks in Machine Learning. Including exponential, polynomial, logistic and softmax regression. Time series analysis. Neural Networks.
Language:Jupyter NotebookMIT000
MIT000