Publications by Karol Esquivel Naranjo y Kervin Josue Alfaro Araya
Laboratorio 4
options(scipen=TRUE) claims <- read.csv('https://raw.githubusercontent.com/DFJL/Datasets/master/unemploymentClaims.csv', sep = ";") library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, se...
720 sym R (6351 sym/38 pcs) 2 img
Tarea 7
##Librerías, dataset y limpieza de datos #install.packages("glmnet") library(glmnet) ## Warning: package 'glmnet' was built under R version 4.0.5 ## Loading required package: Matrix ## Loaded glmnet 4.1-1 library(textrecipes) ## Loading required package: recipes ## Loading required package: dplyr ## ## Attaching package: 'dplyr' ## The follow...
223 sym R (14788 sym/59 pcs) 1 img
Tarea 6
#Dataset, librerias y notación científica library(textrecipes) ## Loading required package: recipes ## Loading required package: dplyr ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, set...
559 sym R (14674 sym/72 pcs) 1 img
Lab 2 Grupo 3
Carga de librerías library(tidyr) library(tidytext) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union Ejercicio 1 Carga de dataset DFtotal <- read.csv("htt...
1332 sym R (74324 sym/31 pcs)
Resumen capítulo 5.1-5.3 y 5.7-5.8
{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) Capítulo 5.1-5.3 y 5.7-5.8 Cuando la variable de respuesta es binaria, la regresión linear no puede ser utilizada. En este caso, se utiliza la regresión logística. Para realizar la regresión logística, es necesario contar con los siguientes paquetes: library(dplyr) library(ggplot2...
3122 sym 1 img
Laboratorio 2 Grupo 3
Carga de librerías library(reshape2) library(wordcloud) ## Loading required package: RColorBrewer library(tidyr) ## ## Attaching package: 'tidyr' ## The following object is masked from 'package:reshape2': ## ## smiths library(tidytext) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:...
1104 sym R (9223 sym/48 pcs) 1 img
Resumen capítulo 1.1
{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) En este capítulo se hace mención de dos modelos distintos en los procesos de machine learning, el supervisado y el no supervisado, detallando sobre el primero. Según el escrito, el modelo supervisado permite la creación de predicciones a través del estudio y modelaje de las relacion...
1752 sym 2 tbl
Lab 2 Grupo 3
Carga de librerías library(tidyr) library(tidytext) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union Ejercicio 1 Carga de dataset DFtotal <- read.csv("htt...
1097 sym R (74336 sym/31 pcs)