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1. Data-management-with-R-Python-SQL-SAS Data-management-with-R-Python-SQL-SAS Public

   Cleaning data will take 40% of your time. I showed solutions to frequent problems in common platforms. Also discussed web scraping and text mining.

   Jupyter Notebook 2 1

2. Applied-optimization Applied-optimization Public

   Optimization. Regression using gradient descent. Maximize profit subject to constraints. Example of fitting curves to the unobserved part of the data with economic intuition.

   Jupyter Notebook 2

3. Causal-inference-with-econometrics-and-ML Causal-inference-with-econometrics-and-ML Public

   I discuss obtaining the reduced form and causal inference in traditional form and machine learning. Treatment effects with machine learning was proposed by Tibshirani, Athey, Friedberg et al. (2019…

   R 2 1