mfrdixon/ML_Finance_Codes resource

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2635 stars · 642 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official Python source code repository accompanying the textbook 'Machine Learning in Finance: From Theory to Practice' by Dixon, Halperin, and Bilokon. It contains Jupyter notebooks organized by chapter that implement the book's machine learning methods for financial applications.

Use cases

• learn machine learning applied to finance
• reproduce textbook examples for ML in finance
• study quantitative finance notebooks in Python
• find reference code for financial ML models
• supplement reading the Machine Learning in Finance book
• explore reinforcement learning for trading

When to choose

• you are reading the textbook and want its companion code
• you want worked Python examples of ML techniques in finance
• you need educational notebooks covering supervised and reinforcement learning for finance

When to avoid

• you need production-ready trading software
• you want a maintained library with a stable API
• you require a project with an explicit open-source license file

Facets

learning-resource · maturity maintenance

machine-learning data-science trading machine-learning fintech education tutorials python cross-platform jupyter-notebooks finance textbook quantitative-finance supervised-learning reinforcement-learning

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