Alternatives and similar repositories for titanic:

Users that are interested in titanic are comparing it to the libraries listed below

• wehrley / wehrley.github.io
  ☆159Updated 8 years ago
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆401Updated 6 years ago
• topepo / APM_Exercises
  Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
  ☆197Updated 7 years ago
• rstudio / Intro
  Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
  ☆238Updated 2 years ago
• echen / ggplot2-tutorial
  Quick introduction to ggplot2 (no knowledge of R assumed)
  ☆237Updated 6 years ago
• johnmyleswhite / MLNotes
  Very concise notes on machine learning and statistics.
  ☆380Updated 12 years ago
• zachmayer / caretEnsemble
  caret models all the way down
  ☆226Updated 2 months ago
• WinVector / zmPDSwR
  Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)
  ☆478Updated 4 years ago
• ujjwalkarn / xda
  R package for exploratory data analysis
  ☆118Updated 7 years ago
• jadianes / spark-r-notebooks
  R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
  ☆120Updated 7 years ago
• IQSS / dss-workshops-archived
  IQSS Data Science Services workshop materials
  ☆78Updated 5 years ago
• HireSmarter / churn201
  Simple employee cost/benefit model with plots. Supports a series of blog entries.
  ☆70Updated 10 years ago
• dgrtwo / dgrtwo.github.com
  My website
  ☆240Updated last month
• mdelhey / kaggle-titanic
  Entry in the Titanic: Machine Learning from Disaster competition @ kaggle.com
  ☆30Updated 11 years ago
• startupjing / Tech_Notes
  Technical Notes
  ☆172Updated 9 years ago
• jstjohn / IntroToStatisticalLearningR-
  Work on Introduction to Statistical Learning
  ☆121Updated 9 years ago
• faridcher / ml-course
  Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
  ☆173Updated 8 months ago
• mages / googleVis
  Interface between R and the Google Chart Tools
  ☆361Updated 8 months ago
• brandenkmurray / kaggle
  Code used in Kaggle competitions
  ☆23Updated 7 years ago
• rstudio / sparkDemos
  ☆53Updated 6 years ago
• datadolphyn / R
  ☆125Updated 3 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• ua-snap / shiny-apps
  R Shiny apps
  ☆235Updated 6 years ago
• mpiccirilli / Rlinkedin
  Dev version of access to LinkedIn API via R
  ☆86Updated 8 years ago
• jmstanto / data-science-r
  R code and documentation for "Introduction to Data Science" by Jeffrey Stanton
  ☆116Updated 12 years ago
• chengjun / Data-Mining-With-R
  data_mining_with_r
  ☆84Updated 3 years ago
• justmarkham / dplyr-tutorial
  Tutorials for the dplyr package in R
  ☆162Updated 6 years ago
• sallyblockchain / Coursera-Practical-Machine-Learning
  Repo for Coursera.com online course: Practical Machine Learning
  ☆21Updated 10 years ago
• datasciencedojo / meetup
  ☆81Updated 7 years ago
• sefakilic / ggplot-cheatsheet
  cheatsheet for ggplot2
  ☆46Updated 10 years ago