velikov-mihail

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

financial-frictions

Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

MLEcon

Machine Learning for Economic Modeling

GaryChamberlainLectureNotes

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

python-introduction

A set of notebooks the provide an introduction to Python.

t81_558_deep_learning

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

BayesianModelSelection

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

sketch

AI code-writing assistant that understands data content

wrds_pg

Code to get data from WRDS to PostgreSQL

awesome-economics

A curated collection of links for economists

lecture-python.notebooks

Notebooks for https://python.quantecon.org

DSE2019

Teaching materials from DSE2019 summer school at Chicago Booth

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

demand_asset_pricing

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

micro-metrics

This is a 2nd Year PhD Course In Micro-econometrics

CrossSection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course