Connor Lennon's Projects
Notes for lab for Econometrics 421
Fall lab notes for EC421
A mountain of useful tools and guides to use them that I've found help maximize my productivity and minimize errors caused by ADHD.
For annotating Jon Davis' Causal Forest code
place for blogposts to live
AT-LSTM for classifying activity levels implied by tweets
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
collection of notes
Spring Course in Econometrics taught at the University of Oregon
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin
Masters-level course for Machine Learning, UO Lab
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
Causal-inference oriented doctoral econometrics course at UO
Lecture notes for EC 607
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Sorting over wildfire risk
A code for the general purpose causal effect estimator described in https://causalai.net/r62.pdf
A place for me to deploy a state of the art machine learning model/interface for SCI
presentation files (quarto)