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saulquispe's Projects

are213 icon are213

PhD Applied Econometrics class taught at UC Berkeley

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

csdid2 icon csdid2

New Version of CSDID. All in Mata

datasets icon datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

drwhy icon drwhy

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.

econometria-stata icon econometria-stata

Curso completo de Econometría con Stata. Comprende Econometría de corte transversal, series de tiempo, panel de datos y Econometría espacial.

fecon235 icon fecon235

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

finta icon finta

Common financial technical indicators implemented in Pandas.

fpp3package icon fpp3package

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 icon free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

github icon github

a module for building, searching, installing, managing, and mining Stata packages from GitHub

hemi.jl icon hemi.jl

Herramienta de evaluación estadística de medidas de inflación subyacente utilizando el lenguaje de programación Julia.

inflation icon inflation

Tool for core inflation's calculations :money_with_wings:

kats icon kats

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.

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