Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Notebooks for Course

Machine Learning and Causal Inference taught by Brigham Frandsen

D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.

This repository is for the Intensive Python Course at PUCP

a 5 day, 10 hour introduction to machine learning mini-course

Repo que almacena todas las clases.

Replications, derivations, and simulations of (mostly development) econ papers.

# final_project_python Here is my final project for the python summer course. I decided to analyze a fun database. I've downloaded my record of songs listened to on Spotify. My main objective here …