Publications by Max Haussmann
DAT3100_Apply7
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ...
1218 sym R (321549 sym/48 pcs) 6 img 6 tbl
DAT3100_CodeAlong7
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ...
869 sym R (22835 sym/40 pcs) 6 img 3 tbl
DAT3100_Apply6
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ...
1083 sym R (97695 sym/36 pcs) 4 img 6 tbl
DAT3100_CodeAlong6
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ...
735 sym R (20317 sym/30 pcs) 3 img 3 tbl
DAT3100_Apply4
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ...
491 sym R (5352 sym/18 pcs) 4 img 3 tbl
DAT3100_CodeAlong5
Goal is to predict attrition, employees who are likely to leave the company. Import Data library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.5 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ...
636 sym R (13145 sym/18 pcs) 3 img 3 tbl
DAT3100_Apply4
Goal: The goal is to predict the Youtube like count. Click here for the data. Import Data youtube <- read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-02/youtube.csv') ## Rows: 247 Columns: 25 ## ── Column specification ──────────────────────────...
2150 sym R (29995 sym/48 pcs) 7 img 10 tbl
DAT3100_CodeAlong4
This template offers an opinionated guide on how to structure a modeling analysis. Your individual modeling analysis may require you to add to, subtract from, or otherwise change this structure, but consider this a general framework to start from. If you want to learn more about using tidymodels, check out our Getting Started guide. In this example...
1812 sym R (8837 sym/36 pcs) 4 img
Dat3100_Apply3
Goal: The goal is to predict the Youtube like count. Click here for the data. Import Data youtube <- read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-02/youtube.csv') ## Rows: 247 Columns: 25 ## ── Column specification ──────────────────────────...
569 sym R (23998 sym/37 pcs) 7 img 11 tbl
DAT3100_CodeAlong3
Goal: to predict the rental prices in the SF rental market. Click here for the data. Import Data rent <- read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-07-05/rent.csv') ## Rows: 200796 Columns: 17 ## ── Column specification ────────────────────────�...
317 sym R (23518 sym/27 pcs) 5 img 3 tbl