/Empirical-Methods-ML

Empirical Methods & Machine Learning

Primary LanguageJupyter Notebook

Empirical-Methods-ML

Empirical Methods & Machine Learning

GitHub Repository: https://github.com/djachoc/Empirical-Methods-ML

Description

This repository corresponds to David Tomás Jacho-Chávez' Econ 485 Topics Course on 'Empirical Methods & Machine Learning' for the Spring 2021 semester at Emory University, Atlanta, GA, United States of America.

Disclaimer

All the materials in this repository are taken from these four sources and the original authors hold all text, figures, and computer code copyrights:

  1. Chapter 6 of the 5th edition of Jeffrey M. Wooldridge's 'Introductory Econometrics: A Modern Approach' textbook.
  2. Chapter 29 of Bruce Hansen's 'Econometrics' online textbook.
  3. Various chapters of 'An Introduction to Statistical Learning: With Applications in R' book by Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani.
  4. Various chapters of 'Machine Learning Essentials: Practical Guide in R' book by Alboukadel Kassambara.