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Name: John Owusu
Type: User
Bio: PhD Economics Student|| Data Science || Financial Engineering
Location: Ontario, Canada
Name: John Owusu
Type: User
Bio: PhD Economics Student|| Data Science || Financial Engineering
Location: Ontario, Canada
Advanced Financial Econometrics - Trinity Term 2020
A PhD course in Applied Econometrics and Panel Data
A curated list of causal inference libraries, resources, and applications.
A curated collection of links for economists
Python Backtesting library for trading strategies
π πΈ Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
A notebook that details several useful functions for (corporate) bond valuation.
Causal Inference and Discovery in Python by Packt Publishing
A graduate course on Computational Macroeconomics
PhD level course on advanved macro models dealing with agent heterogeneity.
Materials for the 2023 Unstructured Data in Empirical Economics course at CEMFI
Notebooks pour le cours Deep Learning de zΓ©ro Γ la certification Tensorflow
A collection of Dynare models
Common financial risk and performance metrics. Used by zipline and pyfolio.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A curated list of practical financial machine learning tools and applications.
Collection of notebooks about quantitative finance, with interactive python code.
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
Python toolkit for quantitative finance
This is the course repository for "Household Behavior over the Life Cycle"
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Online textbook "Introductory statistics for economics"
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
Code library for financial and macroeconomic forecasting in MATLAB, Python, and R.
Course on Macroeconometrics (graduate level)
A composite TSM plot of the most relevant government bonds, equity indexes, and commodity futures.
Nonlinear Nonparametric Statistics
100 numpy exercises (with solutions)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.