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GitHub / AI4Finance-Foundation / Quantifying-ESG-Alpha-using-Scholar-Big-Data-ICAIF-2020

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AI4Finance-Foundation%2FQuantifying-ESG-Alpha-using-Scholar-Big-Data-ICAIF-2020

Stars: 64
Forks: 21
Open issues: 1

License: None
Language: Jupyter Notebook
Size: 6.83 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: about 1 year ago
Pushed at: over 4 years ago
Last synced at: about 1 year ago

Commit Stats

Commits: 26
Authors: 3
Mean commits per author: 8.67
Development Distribution Score: 0.538
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/AI4Finance-Foundation/Quantifying-ESG-Alpha-using-Scholar-Big-Data-ICAIF-2020

Topics: esg, lstm-neural-networks, machine-learning

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