{"id":19179139,"url":"https://github.com/melling/titanicmachinelearning","last_synced_at":"2026-06-17T08:31:24.112Z","repository":{"id":136800237,"uuid":"312344593","full_name":"melling/TitanicMachineLearning","owner":"melling","description":"A collection of different solutions to the Kaggle Titanic Competition.","archived":false,"fork":false,"pushed_at":"2021-01-11T05:23:46.000Z","size":79,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-23T01:35:34.102Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"unlicense","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/melling.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-11-12T17:12:19.000Z","updated_at":"2021-01-11T05:23:48.000Z","dependencies_parsed_at":null,"dependency_job_id":"709925e2-d432-4222-a585-7b48f53b0f92","html_url":"https://github.com/melling/TitanicMachineLearning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/melling/TitanicMachineLearning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/melling%2FTitanicMachineLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/melling%2FTitanicMachineLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/melling%2FTitanicMachineLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/melling%2FTitanicMachineLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/melling","download_url":"https://codeload.github.com/melling/TitanicMachineLearning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/melling%2FTitanicMachineLearning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34441282,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-17T02:00:05.408Z","response_time":127,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-09T10:42:13.091Z","updated_at":"2026-06-17T08:31:24.096Z","avatar_url":"https://github.com/melling.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Titanic Machine Learning\n\n## R Language\n\n### Logistic Regression\n\n- https://github.com/Robby955/Titanic\n- https://www.r-bloggers.com/2021/01/machine-learning-with-r-a-complete-guide-to-logistic-regression/\n\n### Decision Trees\n\n- https://www.r-bloggers.com/2016/02/titanic-machine-learning-from-disaster-part-1/\n\n### Random Forest\n\n- https://github.com/melling/TitanicMachineLearning/tree/main/solutions/wiekvoet/01_random_forest_wiekvoet\n- https://github.com/melling/TitanicMachineLearning/tree/main/solutions/wiekvoet/04_random_forest_revisted_wiekvoet\n\n### Bagging\n\n- https://github.com/melling/TitanicMachineLearning/tree/main/solutions/wiekvoet/03_bagging_wiekvoet\n\n### Deep Learning\n\n- https://www.r-bloggers.com/2020/05/deep-learning-model-for-titanic-data/\n\n\n### Bayesian\n\n### Misc\n\n- https://rstudio-pubs-static.s3.amazonaws.com/143316_106d643df86c4e4c8ae20e9775ab0ec7.html\n- https://www.kaggle.com/pliptor/how-am-i-doing-with-my-score - Excellent Notebook with scores for dozens of solutions\n- https://rpubs.com/JamesENelson/153826\n- https://tylerburleigh.com/blog/surviving-the-titanic-with-r-caret/\n- https://trevorstephens.com/kaggle-titanic-tutorial/getting-started-with-r/\n\n\n## Python\n\n- https://towardsdatascience.com/predicting-the-survival-of-titanic-passengers-30870ccc7e8\n- https://github.com/MohammadWasil/Predicting-Titanic-Survivors\n- https://humansofdata.atlan.com/2016/07/machine-learning-python/\n- https://medium.com/better-programming/titanic-survival-prediction-using-machine-learning-4c5ff1e3fa16\n- http://ghunt03.github.io/DAProjects/DAP02/TitanicDatasetInvestigation.html\n- https://www.ritchieng.com/machine-learning-project-titanic-survival/\n- https://www.kdnuggets.com/2016/07/titanic-machine-learning-guide-part-1.html\n- https://youtu.be/fS70iptz-XU\n   - https://github.com/Arkham/jack-dies\n- https://www.codementor.io/@innat_2k14/titanic-kaggle-machine-learning-from-disaster-part-1-10gbvqzguc\n- http://www.caprinomics.com/projects/titanic/\n- https://www.linkedin.com/pulse/how-i-scored-80-predicting-titanic-survivors-diogo-dutra\n- https://www.geeksforgeeks.org/python-titanic-data-eda-using-seaborn/amp/\n- https://pythonprogramming.net/k-means-titanic-dataset-machine-learning-tutorial/\n- https://datascienceplus.com/logistic-regression-with-python-using-titanic-data/\n- https://rstudio-pubs-static.s3.amazonaws.com/512981_db3552e79dc74dd0ada230125c27a4f3.html\n- http://luizschiller.com/titanic/\n- https://gearons.org/posts/titanic\n- http://jasontdean.com/R/Titanic_Decision_Trees.html\n- http://sajrest.com/Archives/vol4issue4_2019/v4i4p2.pdf\n- http://www.owlnet.rice.edu/~ns10/Kaggle/pdfs/Titanic_Project.pdf\n- http://mahanama94.me/surviving-titanic/\n- http://vitarts.com.br/titanic-machine-learning-from-disaster-kaggle-copetitions/\n- https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/5722190290795989/3865595167034368/8175309257345795/latest.html\n- https://analyticsindiamag.com/solving-the-titanic-ml-survival-problem-using-random-forest-vs-neural-networks-on-tensorflow-which-one-is-better/\n- http://jennhwang.me/blog/titanic/\n- https://datascience.netlify.app/general/2017/07/20/data_science_9.html\n- https://www.stefanfiott.com/data-science/titanic-survival-prediction/\n- https://youtu.be/rODWw2_1mCI\n   - https://medium.com/better-programming/titanic-survival-prediction-using-machine-learning-4c5ff1e3fa16\n\n\n## Misc\n\n- https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/problem12.html\n\n## Tidyverse\n\nAnalyze the Kaggle Titanic Data with the R Tidyverse\n\nMy attempt to learn Kaggle and R together.\n\nI'm new to both Kaggle and R\nR appears to be a great platform to investigate and learn about the data.\n\nHaving a computer science background, I'll probably use Python to build my models.\n\nHowever, R with all its great libraries seems like the best place to start learning about the data.  The EDA part.\n\nFeel free to correct me on anything or offer suggestions.  \n\n```r\ninstall.packages(\"tidyverse\")\ninstall.packages(\"randomForest\")\ninstall.packages(\"skimr\")\ninstall.packages(\"Prophet\")\ninstall.packages(\"forecast\")\ninstall.packages(\"scales\")\"\n\ninstall.packages(\"tidymodels\")\n\nlibrary('mice') \nlibrary(stringr)\n\n```\n\n## TidyVerse\n\nhttps://www.tidyverse.org/\n\n- [R for Data Science](https://r4ds.had.co.nz/)\n\n## TidyModels\n\nhttps://www.tidymodels.org/\n=======\n# Titanic in the Tidyverse\n\nAnalyze the Kaggle Titanic Data with the R Tidyverse.\n\nThis is an exercise to learn both the R/Tidyverse and Kaggle with the introduction Titanic competition.\n\n## Misc Solutions\n\nhttps://github.com/Robby955/Titanic/blob/master/titanic.R\n\n\n## References\n\n- https://www.kaggle.com/c/titanic\n- https://github.com/Robby955/Titanic\n- https://www.tidyverse.org\n\n## R-Bloggers\n\n- https://www.r-bloggers.com/2016/02/titanic-machine-learning-from-disaster-part-1/\n- https://www.r-bloggers.com/2017/12/getting-started-with-dplyr-in-r-using-titanic-dataset/\n- https://www.r-bloggers.com/2015/10/predicting-titanic-deaths-on-kaggle-vii-more-stan/\n- https://www.r-bloggers.com/2018/08/understanding-titanic-dataset-with-h2os-automl-dalex-and-lares-library/\n- https://www.r-bloggers.com/2018/01/understanding-naive-bayes-classifier-using-r/\n- https://www.r-bloggers.com/2015/07/predicting-titanic-deaths-on-kaggle/\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmelling%2Ftitanicmachinelearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmelling%2Ftitanicmachinelearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmelling%2Ftitanicmachinelearning/lists"}