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addaandcooper

Code to solve exercises from Adda and Cooper's "Dynamic Economics" book

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

algorithmic_trading_machine_learning

algotrade

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

applied_micro_tutorial

An applied-micro tutorial using Python on Jupyter notebook showing how to perform a structural estimation excercise using finite dependence and bootstrapping.

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

coding-for-economists

This repository hosts the code behind the online book, Coding for Economists.

commonownerreplication

Replication for Common Owner 1980-2017 (https://www.aeaweb.org/articles?id=10.1257/mic.20190389)

compecon

My "Foundations of Computational Economics" course

compecon-1

A Python version of Miranda and Fackler's CompEcon toolbox

compecon_fall21

ECON 833: Computational Methods for Economists

compeconfoundations

Julia replications of Foundations of Computational Economics

conda-forge.github.io

The conda-forge website.

data-engineering-zoomcamp

Free Data Engineering course!

data-science-regular-bootcamp

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

data-science-tutorials

Python Tutorials for Data Science

data-wrangling-with-python

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

deep_learning

Notes and code to accompany Deep Learning by Goodfellow, Bengio, and Courville

deeplearning

Python implementation of Deep Learning book

ekw-promotion

promotional material for our work on Eckstein-Keane-Wolpin models

gaminet

GAMI-Net: Generalized Additive Models with Structured Interactions

geeksforgeeks--devops-live

ian-goodfellow-deep-learning

This repository will contain my notes and python codes of the book "Deep Learning" of Ian Goodfellow

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

julia-bootcamp

Julia language course for economists by Florian Oswald

juliaeconomics

Tutorial Scripts for JuliaEconomics.com

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.