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  1. Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

    Jupyter Notebook 2.3k 566

  2. Using python and scikit-learn to make stock predictions

    Python 1k 380

  3. udemyML Public

    Templates, code and notes for Kirill Eremenko's Machine Learning course

    Python 51 64

  4. Using graph algorithms to find arbitrage opportunities

    Python 55 24

  5. Extract kindle highlights into organised text files

    Python 32 10

  6. Quantamental finance research with python

    Jupyter Notebook 48 15

249 contributions in the last year

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