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 2 years ago)

Stargazers 483 (0 this week)

Watchers 11 (0 this week)

Forks 164

License apache-2.0

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RepositoryStats indexes 579,238 repositories, of these emoen/Machine-Learning-for-Asset-Managers is ranked #92,489 (84th percentile) for total stargazers, and #190,577 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,214/115,001.

emoen/Machine-Learning-for-Asset-Managers is also tagged with popular topics, for these it's ranked: machine-learning (#2,049/7866)

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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.

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density clusters eigenvalue correlation machine-learning

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updated: 2024-11-05 @ 08:09pm, id: 273956761 / R_kgDOEFQ_mQ