‣ Cookstove Adoption RCT <Github>

‣ Machine Learning Models <Github>

‣ Bayesian Statisitc <Github>

‣ GDP Forecasting <Jupyter>

‣ Scraping IMDb data <Jupyter>

Programming

‣ Chicago Criminal <PySpark>

‣ AWS S3 <PySpark>

‣ STATA (Github) ‣ Matlab ‣ Tableau ‣ SAS

Some of my codes for study and research. Thanks for the generous share of other coauthors and bloggers. Both Jupyter notebook or Colab work for examing the ipynb files.