{"id":17961193,"url":"https://github.com/erictleung/ml-final-proj","last_synced_at":"2025-04-03T18:41:52.850Z","repository":{"id":72464194,"uuid":"59511817","full_name":"erictleung/ml-final-proj","owner":"erictleung","description":":wine_glass: CS559/659 Machine Learning Final Project on Predicting Wine Quality","archived":false,"fork":false,"pushed_at":"2016-06-23T05:31:12.000Z","size":57,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-16T07:56:54.597Z","etag":null,"topics":["decision-trees","machine-learning","quality","r","svm","uci","wine"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/erictleung.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2016-05-23T19:20:46.000Z","updated_at":"2016-11-13T22:26:29.000Z","dependencies_parsed_at":null,"dependency_job_id":"a1d34223-da15-4de8-95b1-c02502f33b59","html_url":"https://github.com/erictleung/ml-final-proj","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erictleung%2Fml-final-proj","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erictleung%2Fml-final-proj/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erictleung%2Fml-final-proj/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/erictleung%2Fml-final-proj/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/erictleung","download_url":"https://codeload.github.com/erictleung/ml-final-proj/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247060851,"owners_count":20877158,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["decision-trees","machine-learning","quality","r","svm","uci","wine"],"created_at":"2024-10-29T11:08:36.937Z","updated_at":"2025-04-03T18:41:52.831Z","avatar_url":"https://github.com/erictleung.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CS559/659 Machine Learning Final Project\n\nHere is my machine learning project on using various methods to predict wine\nquality and wine type based on physiochemical measurements.\n\n\n## Prerequisites\n\n- cURL\n- make\n- [R][r] (\u003e= 3.2.3)\n    - [rpart][rpart] (\u003e= 4.1-10)\n    - [rmarkdown][rmd] (\u003e= 0.9.6)\n    - [knitr][knitr] (\u003e= 1.13)\n    - [e1071][e1071] (\u003e= 1.6-7)\n\n[r]: https://www.r-project.org/\n[rpart]: https://cran.r-project.org/web/packages/rpart/index.html\n[rmd]: https://cran.r-project.org/web/packages/rmarkdown/index.html\n[knitr]: https://cran.r-project.org/web/packages/knitr/index.html\n[e1071]: https://cran.r-project.org/web/packages/e1071/index.html\n\n\n## Run Analysis and Create Report\n\n```shell\ngit clone https://github.com/erictleung/ml-final-proj.git\nmake report\n```\n\n\n## Data\n\nThe data comes from the [University of California Irvine Machine Learning\nRepository][uci] and can be found at the [Wine Quality Data Set][wine].\n\nThe data has two datasets: one related to red wine, another is for white wine.\nEach type of wine is from Portugal.\n\nThe data includes eleven input variables (such as citric acid content and pH)\nand there is one output variable on quality, which is on a scale between zero\nand ten.\n\n[uci]: http://archive.ics.uci.edu/ml/index.html\n[wine]: http://archive.ics.uci.edu/ml/datasets/Wine+Quality\n\n\n## Questions Asked\n\n- Putting the data together, can we distinguish between white and red wine?\n- Can we predict perceived wine quality based on the input variables?\n- Are there any variables that contain redundant information? (In other words,\n  are there any correlative variables?)\n- What variables are most important in predicting perceived wine quality?\n\n\n## Repository Structure\n\n```\n.\n├── Makefile\n├── README.md\n├── bin\n│   ├── decision-trees.R\n│   ├── naive-bayes.R\n│   ├── splitdf.R\n│   └── svm.R\n└── report\n    ├── leung-final-report.Rmd\n    └── refs.bib\n\n2 directories, 8 files\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ferictleung%2Fml-final-proj","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ferictleung%2Fml-final-proj","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ferictleung%2Fml-final-proj/lists"}