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A31-Cointegración y Causalidad
UNIVERSIDAD DE EL SALVADOR
FACULTAD DE CIENCIAS ECONÓMICAS
ESCUELA DE ECONOMÍA
MÉTODOS PARA EL ANÁLISIS ECONÓMICO
CICLO II-2024
GT02
INTEGRANTES: CARNET:
Edwin Fabricio Aguirre Sarmiento AS19011
Gabriel Arturo Sánchez Henríquez SH22002
Diego Edgardo Siliezar Madrid SM21024
Supervised Machine Learning Homework
Predicting House Prices in King County Using Multiple Linear Regression
Model ARIMA
Analisis dan pemilihan model ARIMA yang optimal untuk peramalan data deret waktu
Supervised Machine Learning Homework
Predicting Price of Used Cars
Homework 1
Statistical Learning for Data Analysis homework one.
Statistics and Probability for Data Analytics - HW 1, Intro to RStudio
Comparing the proportions of boys and girls born amongst two datasets:
The Arbuthnot dataset from the 18th century
Present dataset from the 19th century
Práctica preparcial 3
Verónica Nayeli Miranda Mejía MM21065
Análisis de conglomerados