Linear Models, Generalised Linear Models, NN and SVM
Authors: Larissa Eisele, Fabian Lüthard & Yves Maillard
Module: Applied Machine Learning I (June 2022)
Study Program: Master of Science in Appplied Information & Data Science
Supervisor: Matteo Tanadini and Daniel Meister
|--eisele-luethard-maillard-mpm02-stroke-prediction.pdf # Report rendered by Bookdown
|--data\ # Data for the analysis (CSV)
|--latex\ # Custom Title Page in Latex
|--references\ # References
|--references.bib # BibTeX references
|--apa.csl # APA 7th Edition Citation Style Language
|--eisele-luethard-maillard-mpm02-stroke-prediction.html # Report rendered by Bookdown
The following packages are required to knitr this report using bookdown.
knitr::opts_chunk$set(echo = TRUE, messages = FALSE)
packages <- c("dplyr","readxl", "curl", "ggplot2", "ggrepel", "maps", "plotly", "stringr", "tm", "wordcloud2", "tidyverse", "RColorBrewer", "ggwordcloud", "viridis", "bookdown", "utils", "leaps", "broom","GGally", "e1071", "caret", "mgcv", "imbalance", "MLmetrics", "neuralnet")
package.check <- lapply(packages, FUN = function(x) {
if (!require(x, character.only = TRUE)) {
install.packages(x, dependencies = TRUE)
library(x, character.only = TRUE)
}
})
Neural Network Model was not able to be knitted into a PDF File. Therefore, the code has been commented out in the rmarkdown. The code works in the rmarkdown. Uncomment the lines in "eisele_luethard_maillard_mpm02.Rmd" Lines 471 to 567.
In R-Studio click on the arrow on Knit then select "Knit to pdf_document2" or "Knit to pdf_html2". The following project was compiled using RStudio 2021.09.2 Build 382 and R version 4.1.2 (2021-11-01).