https://github.com/straymat/causal-ml-course

Course on machine learning at ENSAE (social data science track, S2 2025)
https://github.com/straymat/causal-ml-course

Last synced: 9 months ago
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Course on machine learning at ENSAE (social data science track, S2 2025)

• Host: GitHub
• URL: https://github.com/straymat/causal-ml-course
• Owner: strayMat
• License: eupl-1.2
• Created: 2024-07-06T13:41:46.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-28T09:47:17.000Z (about 1 year ago)
• Last Synced: 2025-03-28T10:45:16.934Z (about 1 year ago)
• Language: Python
• Homepage: https://straymat.github.io/causal-ml-course/
• Size: 67.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
[![Site web](https://img.shields.io/badge/course_website-blue)](straymat.github.io/causal-ml-course/)

# Machine Learning for Econometrics

Eight sessions of three hours presenting important concepts and methods on machine learning for econometrics. The course focuses on flexible models and causal inference in high dimensions. Most of the sessions will display a mix between theoretical considerations and practical application with hands-on in python.