The repository for all of the solutions to the Leetcode problems solved on my YouTube, Instagram and TikTok

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

This project introduces Causal AI and how it can drive business value.

A package to compute a marketing mix model.

R-Package for estimating CLV

This is a comprehensive Python library that facilitates advanced statistical testing methods, designed to empower data scientists and analysts in their work. This package specifically focuses on:

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…

⚡ Base R shortcuts: A collection of lesser-known but powerful idioms and coding patterns for writing concise and fast R code

Blog

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

Official repository for the mcf package.

A python tutorial on bayesian modeling techniques (PyMC3)

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

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

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

An index of algorithms for learning causality with data

A data index for learning causality.

Comparing causal inference models with RCT benchmarks

original paper: Chang, Neng-Chieh. "Double/debiased machine learning for difference-in-differences models." The Econometrics Journal 23.2 (2020): 177-191

Repo for Yale Applied Empirical Methods PHD Course

Code and notebooks for my Medium blog posts

Python notebooks for the tutorial paper on feature selection

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

An Introduction to Statistical Learning with Applications in PYTHON

Tools for causal analysis

A poor man's dependency free grammar of data manipulation

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies