leehygh

stat545

A :book: on data wrangling, exploration, & analysis with R - created by Jenny Bryan, made with bookdown

MLFP-ECON5130

Jupyter notebooks for part 1 of the course "Machine Learning in Finance with Python" (ECON5130) taught at Glasgow University

python-intro-PGR

Jupyter notebooks for the course "Introduction to Python Programming for Economics & Finance" taught at Glasgow University

tidymodels-uw-2023

Source and slides for "Why you should be using tidymodels" at UW-Madison

Machine-Learning-in-Finance

Machine Learning in Finance, Spring 2022

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

machine-learning

Slides and Python code examples for undergraduate machine learning

EC524W20

Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin

resources

Useful resources for this and that

data_wrangling

ec103-fall22

EC 103-002 (Introduction to Macroeconomics, Fall 2022), taught by Marcio Santetti at Skidmore College.

macroLectures

Macroeconomics at Claremont Graduate University

positron

Positron, a next-generation data science IDE

539b

(Advanced) Applied Econometrics

EC607S22

Causal-inference oriented doctoral econometrics course at UO

econometrics

Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam

MS-Applied-Econometrics

EC421S19

Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Ed Rubin

Phd-Econometrics

Graduate Econometrics course notes with code in Julia

CausalitySlides

Slides for the Seattle University Causal Inference Class

EconometricsSlides

This is the repository for the slides used in the Seattle University Econometrics course

ResEcon703

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

Advanced-Metrics-slides

Slide host for the advanced econometrics course for undergraduates

ScPoEconometrics-Slides

Quant-NewGrad-Internship

hey there 👋 If your applying for a quant new grad role or internship - this repo is for you. Best of luck 🚀

vizarts

Pretty graphs done with Python / Matplotlib

code_and_pepper

🐍 code I post on the web

lectures

Lecture notes for EC 607

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

R-in-Finance

This course, taught by Prof.Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course implements volatility and price forecasting models, asset pricing and factor models, and portfolio optimization. The course applies machine learning techniques, such as backtesting (cross-validation) and parameter regularization (shrinkage).