Pinned Repositories
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
approachingalmost
Approaching (Almost) Any Machine Learning Problem
are213
PhD Applied Econometrics class taught at UC Berkeley
awesome-time-series
Resources for working with time series and sequence data
CCFF_2022_wp
Computational-Methods-in-Macro
PhD level course on advanved macro models dealing with agent heterogeneity.
course-materials
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
csdid2
New Version of CSDID. All in Mata
saulquispe's Repositories
saulquispe/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
saulquispe/approachingalmost
Approaching (Almost) Any Machine Learning Problem
saulquispe/are213
PhD Applied Econometrics class taught at UC Berkeley
saulquispe/awesome-time-series
Resources for working with time series and sequence data
saulquispe/CCFF_2022_wp
saulquispe/course-materials
saulquispe/csdid2
New Version of CSDID. All in Mata
saulquispe/cursos-python
Repositorio con diversos cursos basados en Python
saulquispe/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
saulquispe/DSGE_mod
A collection of Dynare models
saulquispe/econometria-financiera
saulquispe/finta
Common financial technical indicators implemented in Pandas.
saulquispe/forecast
forecast package for R
saulquispe/forecasting_workshop
saulquispe/free_r_tips
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
saulquispe/github
a module for building, searching, installing, managing, and mining Stata packages from GitHub
saulquispe/HEMI.jl
Herramienta de evaluación estadística de medidas de inflación subyacente utilizando el lenguaje de programación Julia.
saulquispe/jdemetra-app
JDemetra+ desktop application
saulquispe/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.
saulquispe/klassets
saulquispe/mbli_powerbi_r_python
Machine Learning en Power BI con R y Python
saulquispe/ml-study-plan
The Ultimate FREE Machine Learning Study Plan
saulquispe/nixtla
Automated ⚙️ time series forecasting.
saulquispe/nowcasting
R package for Dynamic Factor Models with mixed frequencies and unbalanced panel :chart_with_downwards_trend:
saulquispe/Python-Macroeconomia-I---Maestria-UNI
Mis Códigos del curso que dicté: Python del Curso de Macroeconomía I en la Maestria en Ingenieria Economica de la UNI.
saulquispe/rdocumentation-2.0
📚 RDocumentation provides an easy way to search the documentation for every version of every R package on CRAN and Bioconductor.
saulquispe/skforecast
Time series forecasting with scikit-learn models
saulquispe/Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt
saulquispe/TimeSeriesForecastingInPython
saulquispe/tutorial-spatial-cross-section-columbus-crime
Tutorial : Spatial econometrics for cross-sectional data (Columbus crime example)