ki33elev/Adv_Fin_ML
Solutions for selected exercises from Advances in Financial Machine Learning by Marcos Lopez De Prado
If you're studying 'Advances in Financial Machine Learning' by Marcos Lopez De Prado and want to see practical implementations, this project provides solutions to selected exercises. You'll input your understanding of the textbook's problems and get executable code demonstrations for financial machine learning techniques. This is designed for quantitative finance practitioners, data scientists in finance, or students diving deep into the book's methodologies.
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Use this if you are working through 'Advances in Financial Machine Learning' and want to compare your own solutions or see how key concepts are applied in code.
Not ideal if you're looking for a production-ready financial machine learning library or a tool to perform automated trading without understanding the underlying algorithms.
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91
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 08, 2022
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