A game theoretic approach to explain the output of any machine learning model.

Automatic extraction of relevant features from time series:

Notebooks and code for the book "Introduction to Machine Learning with Python"

Book about interpretable machine learning

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

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Source code for my collection of articles on using pandas.

Materials for my Pycon 2015 scikit-learn tutorial.

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Nvidia contributed CUDA tutorial for Numba

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

Estimating Treatment Effects with ML Methods