emoen / Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

Date Created 2020-06-21 (4 years ago)

Commits 310 (last one about a year ago)

Stargazers 456 (2 this week)

Watchers 11 (0 this week)

Forks 152

License apache-2.0

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RepositoryStats indexes 533,807 repositories, of these emoen/Machine-Learning-for-Asset-Managers is ranked #91,891 (83rd percentile) for total stargazers, and #185,169 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,834/103,260.

emoen/Machine-Learning-for-Asset-Managers is also tagged with popular topics, for these it's ranked: machine-learning (#2,011/7366)

Other Information

emoen/Machine-Learning-for-Asset-Managers has 3 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 0 closed issues.

All Topics

density clusters eigenvalue correlation machine-learning

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1 commits on the default branch (master) since jan '22

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updated: 2024-06-27 @ 04:13am, id: 273956761 / R_kgDOEFQ_mQ