Publications by Nguyen Bui
Barcelona
Introduction Hi! In this kernel we are going to analize some important topics about Barcelona: population, culture, transport, environment, etc. As a citizen and lover of this city, I would like to introduce it to the rest of Kaggle users. We are going to use data from the Open Data BCN platform: Open Data BCN, a project that was born in 2010, im...
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Bootstrap confidence intervals for Super Bowl commercials
Explore the data Our modeling goal is to estimate how the characteristics of Super Bowl commercials have changed over time. There aren’t a lot of observations in this dataset. And thí í an approach that can be used for robust estimates in such situations. Let’s start by reading in the data skimr::skim(youtube) Data summary Name youtube ...
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Correlation and regression fundamentals with tidy data principles
Correlation and regression fundamentals with tidy data principles LEARNING OBJECTIVE Analyze the results of correlationship tests and simple regression models for many data sets at once INTRODUCTION This article only requires the tidymodels package. While the tidymodels package broom is useful for summarizing the result of a single analysis in a...
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decision tree model
suppressMessages(library(tidyverse)) suppressMessages(library(tidymodels)) scooby_raw <- read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-07-13/scoobydoo.csv") scooby_raw %>% filter(monster_amount > 0) %>% count(monster_real) ## # A tibble: 2 x 2 ## monster_real n ## <chr> <...
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Bootstrap resampling
suppressMessages(library(tidyverse)) ## Warning: package 'tidyverse' was built under R version 4.0.5 ## Warning: package 'ggplot2' was built under R version 4.0.5 ## Warning: package 'tibble' was built under R version 4.0.4 ## Warning: package 'tidyr' was built under R version 4.0.4 ## Warning: package 'readr' was built under R version 4.0.5 ## W...
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Stats Inference
Load packages ## Warning: package 'tidyverse' was built under R version 4.0.5 ## Warning: package 'ggplot2' was built under R version 4.0.5 ## Warning: package 'tibble' was built under R version 4.0.4 ## Warning: package 'tidyr' was built under R version 4.0.4 ## Warning: package 'readr' was built under R version 4.0.5 ## Warning: package 'dplyr'...
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tidymodels nfl season
suppressMessages(library(tidyverse)) suppressMessages(library(tidymodels)) suppressMessages(library(readxl)) attendance <- read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-02-04/attendance.csv") standings <- read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2...
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ML project
setwd("C:/Users/DellPC/Desktop/Corner/R_source_code/Julia_Silge") #Manipulation library(tidyverse) #Create models library(tidymodels) #Feature importance library(vip) library(lime) #Visualization library(RColorBrewer) library(scales) library(DT) library(ggsci) library(ggthemes) library(ggpubr) library(gghalves) library(ggridge...
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Publish Document
This is the latest in my series of screencasts demonstraing how t ouse the tidymodels packages, from starting out with first modeling steps to tuning more complex models. Explore the data Our modeling goal is to understand how student debt and inequality has been changing over time. We can build a model to understand the relationship between stu...
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Document
Spatial resampling for Tidy Tuesday Geographic data is special when it comes to, well, basically everything. suppressMessages(library(tidyverse)) suppressMessages(library(tidymodels)) data("lsl", package = "spDataLarge") landslides <- as_tibble(lsl) landslides ## # A tibble: 350 x 8 ## x y lslpts slope cplan cprof el...
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