Publications by Reed Wilson
Apply 11: Intermediate Data
Goal is to automate building and tuning a classification model to predict employee attrition, using the h2o::h2o.automl. library(h2o) ## Warning: package 'h2o' was built under R version 4.2.3 ## ## ---------------------------------------------------------------------- ## ## Your next step is to start H2O: ## > h2o.init() ## ## For H2O packag...
296 sym R (47353 sym/64 pcs)
Code Along 12: Using ChatGPT
Step 1: I have a dataset called attrition_raw_tbl that looks like this. attrition_raw_tbl %>% glimpse() Rows: 1,470 Columns: 35 $ Age 41, 49, 37, 33, 27, 32, 59, 30, 38, 36, 35, 29, 31, 34, 28, 29, 32, 22, 53, 38, 24, … $ Attrition “Yes”, “No”, “Yes”, “No”, “No”, “No”, “No”, “No”, “No”, “No”, “No”, �...
4702 sym R (7873 sym/22 pcs)
Code Along 11: Intermediate Data
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 4.2.3 ## ## ---------------------------------------------------------------------- ## ## Your next ste...
366 sym R (51729 sym/64 pcs)
Apply 10: Intermediate Data
# for Core packages library(tidyverse) ## Warning: package 'readr' was built under R version 4.2.3 ## Warning: package 'dplyr' was built under R version 4.2.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## �...
475 sym R (6286 sym/36 pcs) 2 img
Code Along 10: Intermediate Data
library(dplyr) ## Warning: package 'dplyr' was built under R version 4.2.3 ## ## 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) library(lubridate) ## ## Attaching pac...
384 sym R (9268 sym/61 pcs) 6 img
Apply 9: Intermediate Data
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...
1908 sym R (65227 sym/30 pcs) 4 img
Apply 9: S&P500
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...
1908 sym R (65198 sym/30 pcs) 4 img
Code Along 9: Intermediate Data
Set Up library(tidyverse) ## Warning: package 'readr' was built under R version 4.2.3 ## Warning: package 'dplyr' was built under R version 4.2.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats ...
139 sym R (13179 sym/43 pcs) 4 img
Apply 8: Intermediate Data
library(tidyverse) ## Warning: package 'readr' was built under R version 4.2.3 ## Warning: package 'dplyr' was built under R version 4.2.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ...
1143 sym R (29626 sym/54 pcs) 7 img