group by(island, year) penguins
body mass g, na.rm = TRUE, mean(mean body mass g = mean(body mass g, TRUE))
library(palmerpenguins)
data.frame df (penguins)
Complete.cases(df), df - # Remove NA rows
mean(df[df$species=="Adelie",6])\smean(df[df$species=="Chinstrap",6])\smean(df[df$species=="Gentoo",6])\smean(df[,6])
It is a dataset made up of measurements taken from three different species of penguins: Adelie, Gentoo, and Chinstrap. similar to Iris data, which included measurements for three distinct Iris flower species. For what they are constructed of, both are excellent.
Using the well-known Palmer Penguins dataset, this research examines the supervised learning classification techniques LDA (Linear Discriminant Analysis), QDA (Quadratic Discriminant Analysis), NB (Naive Bayes), and KNN (K-Nearest Neighbors).
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