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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A Nintendo Switch checkout bot. Currently supports Walmart and Best buy

Automate pulling Springer's free books.

Bayesian Data Analysis demos for Python

Bayesian Additive Regression Trees For Python

📀 Unlimited Google Drive Storage by splitting binary files into base64

My efforts to follow along the Statistical Rethinking Winter 2019 course.

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

Turning AIS messages into fleets by spatially clustering over time.

Inference case studies in jupyter

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A collection of IPython Notebooks containing my research.

materials for Linear Mixed Effect Modeling workshop

An open source python library for automated feature engineering

Small repo for WIP pymc examples

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklf…

How to do Bayesian statistical modelling using numpy and PyMC3

Teaching materials for Python MixedLM (mixed linear models)

Slideshow, papers, and example R scripts to demonstrate shrinkage/partial pooling and prediction in hieararchical models

Generalized linear mixed-effect model in Python

MLBox is a powerful Automated Machine Learning python library.

Python multilevel modeling (see 'A convex optimization approach to modeling consumer heterogeneity in conjoint estimation')

Notebooks for the Altair tutorial

Tensorflow implementation of deep quantile regression

Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.