noriegall / ML_Public_Policy

Repository for final project of Machine Learning and Public Policy on Python (CAPP30254, UChicago).

White Elephants Kill. Can we anticipate them with Machine Learning?

Project for UChicago CAPP30254, Machine Learning for Public Policy (June 2020) with A.Bartra

Keywords: Public Expenditure, Machine Learning, Python

1. Presentation and final report

The final report and correspoding slides can be found here

2. Data

Databases are big for GitHub. They can be downloaded from this GoogleDrive link

3. Code

The script folder contains the following:

i) my_fns.py : the functions used for the descriptive analysis and preprocessing

ii) 200611_final_project.ipynb: the Jupyter Notebook with the code and outputs of the preprocessing and Machine Learning algorithms.

iii) db_consolidation.py: the code used for the ETL process of the data.

iv) varlists.py: contains the list of variables used for time operators.