mfrdixon/ML_Finance_Codes
Jupyter Notebook implementations of machine learning algorithms and models for finance, accompanying the textbook 'Machine Learning in Finance: From Theory to Practice'.
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This repository contains the Python source code for a textbook teaching machine learning techniques applied to finance. The code covers ML algorithms implemented in Jupyter Notebooks for financial applications such as prediction, classification, and risk modeling in trading contexts. The materials include setup instructions and chapter-specific notebooks.
Frequently asked
- What is mfrdixon/ML_Finance_Codes?
- Jupyter Notebook implementations of machine learning algorithms and models for finance, accompanying the textbook 'Machine Learning in Finance: From Theory to Practice'.
- Is ML_Finance_Codes open source?
- Yes — mfrdixon/ML_Finance_Codes is an open-source project tracked on heatdrop.
- What language is ML_Finance_Codes written in?
- mfrdixon/ML_Finance_Codes is primarily written in Jupyter Notebook.
- How popular is ML_Finance_Codes?
- mfrdixon/ML_Finance_Codes has 2.6k stars on GitHub.
- Where can I find ML_Finance_Codes?
- mfrdixon/ML_Finance_Codes is on GitHub at https://github.com/mfrdixon/ML_Finance_Codes.