Publications by David Nilsson
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Set up # Load necessary libraries library(tidymodels) # For modeling and evaluation ## Warning: package 'tidymodels' was built under R version 4.3.3 ## ── Attaching packages ────────────────────────────────────── tidymodels 1.2.0 ── ## ✔ broom 1.0.5 ...
860 sym R (12917 sym/50 pcs)
Intermidiate Code Along 12
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 4.3.3 ## ## ---------------------------------------------------------------------- ## ## Your next...
370 sym R (26781 sym/67 pcs)
Intermediate Code Along 11
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 4.3.3 ## ## ---------------------------------------------------------------------- ## ## Your next...
370 sym R (26211 sym/67 pcs)
Intermediate Apply 11
Set up Import data Import the cleaned data from Module 7. library(h2o) ## Warning: package 'h2o' was built under R version 4.3.3 ## ## ---------------------------------------------------------------------- ## ## Your next step is to start H2O: ## > h2o.init() ## ## For H2O package documentation, ask for help: ## > ??h2o ## ## ...
250 sym R (21486 sym/69 pcs)
Intermediate Apply 10
# for Core packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggpl...
552 sym R (11339 sym/50 pcs) 5 img
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Set Up 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 library(ggplot2) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(lubridate) ## #...
495 sym R (10045 sym/62 pcs) 5 img
Int Apply 9
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_...
1934 sym R (10281 sym/27 pcs) 3 img
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Set Up library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.1 ...
274 sym R (10650 sym/37 pcs) 4 img
Intermediate Apply 8
Import data library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5...
822 sym R (12446 sym/54 pcs) 2 img 8 tbl
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Goal is to predict attrition, employees who are likely to leave the company. Import data library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr ...
852 sym R (24672 sym/56 pcs) 6 img 3 tbl