Mixtape-Sessions / Machine-LearningLinks
Machine Learning and Causal Inference taught by Brigham Frandsen
☆218Updated 2 months ago
Alternatives and similar repositories for Machine-Learning
Users that are interested in Machine-Learning are comparing it to the libraries listed below
Sorting:
- This repository consolidates my teaching material for "Causal Machine Learning".☆260Updated 2 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆108Updated last week
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆310Updated 2 months ago
- ☆91Updated 3 weeks ago
- This is a coding course in Python to accompany the Data Analysis material☆113Updated 3 years ago
- Causal Inference II Mixtape Session taught by Scott Cunningham☆220Updated last month
- Slides for the Seattle University Causal Inference Class☆144Updated 4 years ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆215Updated last year
- Data and Program files for Causal Inference: The Mixtape☆444Updated last month
- CSDID☆37Updated 5 months ago
- This is the repository for the slides used in the Seattle University Econometrics course☆160Updated 7 months ago
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆54Updated last year
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆57Updated last year
- Packages of Example Data for The Effect☆150Updated last year
- Instrumental Variables Mixtape Track taught by Peter Hull☆116Updated 10 months ago
- difference-in-differences in Python☆106Updated last year
- (Advanced) Applied Econometrics☆292Updated 8 months ago
- Causal Inference Mixtape Sessions☆99Updated 3 years ago
- Causal Inference 3 Mixtape Session taught by Scott Cunningham☆52Updated 2 weeks ago
- ☆81Updated 4 years ago
- Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees☆117Updated 11 months ago
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆66Updated last month
- Replication code and downloadable example data sets for The Effect☆201Updated 3 months ago
- ☆100Updated 5 years ago
- Matrix Completion Methods for Causal Panel Data Models☆103Updated 4 years ago
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆226Updated last week
- Design-Based Inference Mixtape Session taught by Peter Hull☆43Updated last year
- Augmented Synthetic Control Method☆162Updated 10 months ago
- Frontiers in Difference-in-Differences taught by Brantly Callaway☆36Updated last year
- JupyterNotebook for the MIT course☆16Updated 7 months ago