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Titanic Machine Learning

R Language

Logistic Regression

Decision Trees

Random Forest

Bagging

Deep Learning

Bayesian

Misc

Python

Misc

Tidyverse

Analyze the Kaggle Titanic Data with the R Tidyverse

My attempt to learn Kaggle and R together.

I'm new to both Kaggle and R R appears to be a great platform to investigate and learn about the data.

Having a computer science background, I'll probably use Python to build my models.

However, R with all its great libraries seems like the best place to start learning about the data. The EDA part.

Feel free to correct me on anything or offer suggestions.

install.packages("tidyverse")
install.packages("randomForest")
install.packages("skimr")
install.packages("Prophet")
install.packages("forecast")
install.packages("scales")"

install.packages("tidymodels")

library('mice') 
library(stringr)

TidyVerse

https://www.tidyverse.org/

TidyModels

Titanic in the Tidyverse

Analyze the Kaggle Titanic Data with the R Tidyverse.

This is an exercise to learn both the R/Tidyverse and Kaggle with the introduction Titanic competition.

Misc Solutions

https://github.com/Robby955/Titanic/blob/master/titanic.R

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R-Bloggers

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A collection of different solutions to the Kaggle Titanic Competition.

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