12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Replication code and downloadable example data sets for The Effect

🧛🏻‍♂️ Dark Theme for LaTeX

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…

Crop Yield Prediction with Deep Learning

Starter files, final projects and FAQ for my Complete JavaScript course

Fit interpretable models. Explain blackbox machine learning.

Generate Diverse Counterfactual Explanations for any machine learning model.

Lecture notes for EC 607

My CV built using RMarkdown and the pagedown package.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A starting point for creating your own custom Mailspring themes!

COMS W4995 Applied Machine Learning - Spring 19

Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.

DEPONS model v.1.1: Simulating effects of disturbances on harbour porpoises in the North Sea

A Wes Anderson color palette for R

Data Analysis Using Python

A curated list of resources focused on Machine Learning in Geospatial Data Science.

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