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A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
⚡ Unofficial Overwatch 2 API, built with FastAPI, provides data on heroes, game modes, maps, and player careers
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Bayesian Modeling and Probabilistic Programming in Python
PyMC educational resources
Statistical Rethinking course winter 2022
Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Laurie's code for Metrica tracking data.
This repo is dedicated for people getting started with Python using the concepts derived from the book Soccermatics (Sumpter 2016)
This repository will contain getting started material with R using the StatsBomb dataset.
Luca Pappalardos code for working with and plotting Wyscout data
Sergio Llana's passing network plots with eventing and tracking football data
Last row tracking data and code
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Code and data for "Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects"
Template for writing a PhD thesis in Markdown
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
Evaluation of the Sepsis-3 guidelines in MIMIC-III
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III