Must-read papers and resources related to causal inference and machine (deep) learning

Collection of useful data science topics along with articles, videos, and code

Python package for publishing Jupyter Notebooks as Medium blogposts

A collection of libraries to optimise AI model performances

Curated research at the intersection of causal inference and natural language processing.

Course material for the Winter 2020 Edition of PP4RS at Uni Zurich

Porting the R code in ISL to python. Labs and exercises

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

A community based Python library for quantitative economics

Watches your Hearthstone games and rates your cards.