🦜🔗 Build context-aware reasoning applications

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

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Content for Udacity's AI in Trading NanoDegree.

Python implementation of the R stargazer multiple regression model creation tool

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

Statistics and Machine Learning in Python

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138

A brief tutorial on the Wasserstein auto-encoder

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

PyTorch autoencoder implementation of asset pricing model using monthly returns/metrics

A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session

Advanced Financial Econometrics - Trinity Term 2020

For deep learning and pytorch education

Python library for shrinkage cleaning of large correlation matrices.

Stock Analysis using a Time Series Prediction Model

Variety of demo notebooks done with R, Python, and F#, for creating machine learning and statistics