Code for Machine Learning for Algorithmic Trading, 2nd edition.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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…

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

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Machine learning and artificial intelligence

Repo for the Deep Learning Nanodegree Foundations program.

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

Evidence-based QA system for community question answering.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"

Distributional Random Forests (Cevid et al., 2020)

Neural Networks to predict stock price

A Peer-to-Peer Lending Robo-Advisor Using a Neural Network (Probability of Default) and a Random Forest Regression (Annualized Returns)

Fama-French models, idiosyncratic volatility, event study

Code and data for Price Revelation from Insider Trading: Evidence from Hacked Earnings News

Material for a Python for Finance workshop at the University of Melbourne in 2017

Extracted topics from comments off McDonalds Instagram account using unsupervised learning techniques (LDA, LSA, NMF).

Comparing causal inference models with RCT benchmarks

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…