orsdemir Goto Github PK

garychamberlainlecturenotes

grad-io

Graduate Empirical Industrial Organization

guide2econra

heterogeneous-effects

Machine Learning and Heterogeneous Effects taught by Brigham Frandsen

introduction_to_statistical_learning_summary_python

Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.

islr-python

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

john-rust-1987-python

Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.

lectures-2020

machine-learning-mixed-tape

Machine Learning and Causal Inference taught by Brigham Frandsen

meituan-informs-tsl-research-challenge

mixtape_learnr-ff

Better R code for mixtape.

ml_shortcourse

orsdemir.github.io

recreation-gov-campsite-checker

Scrapes the recreation.gov website to check for campsite availabilities 🏕🏕

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-stanford

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

resecon703

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

short_courses

Instructional materials for econometrics short courses

spring-2020

Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods

stanford-cs234

Stanford CS234 : Reinforcement Learning

stochastic-optimization

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

structest_w17

MACS 40200: Structural Estimation

structest_w18

MACS 40200 (Winter 2018): Structural Estimation

structest_w19

MACS 40200 (Winter 2019): Structural Estimation

structest_w20

MACS 40200 (Winter 2020): Structural Estimation

structural-estimation-of-choice-models

syllabi

A repository of syllabi based on templates from @svmiller

vmls-companions

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

waste-datasets-review

List of image datasets with any kind of litter, garbage, waste and trash