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Repo for Yale Applied Empirical Methods PHD Course
Approaching (Almost) Any Machine Learning Problem
PhD Applied Econometrics class taught at UC Berkeley
Resources for working with time series and sequence data
PhD level course on advanved macro models dealing with agent heterogeneity.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
New Version of CSDID. All in Mata
Repositorio con diversos cursos basados en Python
Machine learning datasets used in tutorials on MachineLearningMastery.com
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
A collection of Dynare models
Curso completo de Econometría con Stata. Comprende Econometría de corte transversal, series de tiempo, panel de datos y Econometría espacial.
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
Common financial technical indicators implemented in Pandas.
forecast package for R
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
a module for building, searching, installing, managing, and mining Stata packages from GitHub
Herramienta de evaluación estadística de medidas de inflación subyacente utilizando el lenguaje de programación Julia.
Tool for core inflation's calculations :money_with_wings:
The notebooks include forecasting Indian monthly inflation rates usuing SARIMAX Model and Economic Modelling using NKPC
JDemetra+ desktop application
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.