Publications by Job Boonstoppel
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# Load required libraries library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.1 ## Warning: package 'tidyr' was built under R version 4.3.1 ## Warning: package 'dplyr' was built under R version 4.3.1 ## Warning: package 'stringr' was built under R version 4.3.1 ## ── Attaching core tidyverse packages ─────�...
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library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.1 ## Warning: package 'tidyr' was built under R version 4.3.1 ## Warning: package 'dplyr' was built under R version 4.3.1 ## Warning: package 'stringr' was built under R version 4.3.1 ## ── Attaching core tidyverse packages ──────────────�...
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Set up Import data Import the cleaned data from Module 7. library(h2o) ## Warning: package 'h2o' was built under R version 4.3.1 ## ## ---------------------------------------------------------------------- ## ## Your next step is to start H2O: ## > h2o.init() ## ## For H2O package documentation, ask for help: ## > ??h2o ## ## After sta...
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Goal is to automate building and tuning a classification model to predict employee attrition, using the h2o::h2o.automl. Set up Import data Import the cleaned data from Module 7. library(h2o) ## Warning: package 'h2o' was built under R version 4.3.1 ## ## ---------------------------------------------------------------------- ## ## Your next ste...
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# for Core packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.1 ## Warning: package 'tidyr' was built under R version 4.3.1 ## Warning: package 'dplyr' was built under R version 4.3.1 ## Warning: package 'stringr' was built under R version 4.3.1 ## ── Attaching core tidyverse packages ───────�...
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library(dplyr) ## Warning: package 'dplyr' was built under R version 4.3.1 ## ## 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 library(ggplot2) ## Warning: package 'ggplot2' was built...
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Set up library(tidyverse) library(tidyquant) # for financial analysis library(broom) # for tidy model results library(umap) # for dimension reduction library(plotly) # for interactive visualization Data # Get info on companies listed in S&P500 sp500_index_tbl <- tq_index("SP500") # Get individual stocks from S&P500 sp500_symbols <- sp500_index_t...
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Set Up library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.1 ## Warning: package 'tidyr' was built under R version 4.3.1 ## Warning: package 'dplyr' was built under R version 4.3.1 ## Warning: package 'stringr' was built under R version 4.3.1 ## ── Attaching core tidyverse packages ────────────...
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The dataset documents the reasons for CEO departure in S&P 1500 firms from 2000 through 2018. Goal is to predict CEO departure (ceo_dismissal) by using the departures dataset. Import Data library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.1 ## Warning: package 'tidyr' was built under R version 4.3.1 ## Warning: package ...
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knitr::opts_chunk$set(echo = TRUE) Goal is to predict attrition, employees who are likely to leave the company. Import library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.1 ## Warning: package 'tidyr' was built under R version 4.3.1 ## Warning: package 'dplyr' was built under R version 4.3.1 ## Warning: package 'stringr'...
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