{"id":22517709,"url":"https://github.com/gokulnpc/wine-quality-prediction","last_synced_at":"2025-07-01T14:36:54.580Z","repository":{"id":228933596,"uuid":"775305635","full_name":"gokulnpc/Wine-Quality-Prediction","owner":"gokulnpc","description":"This web app is created to predict the quality of red wine based on the input features. The model is trained using the Random Forest Classifier algorithm.","archived":false,"fork":false,"pushed_at":"2024-03-21T07:25:00.000Z","size":482,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T02:34:47.557Z","etag":null,"topics":["classification-model","machine-learning","random-forest-classifier","stream"],"latest_commit_sha":null,"homepage":"https://wine-quality-prediction-gokulnpc.streamlit.app/","language":"Jupyter Notebook","has_issues":true,"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/gokulnpc.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":"2024-03-21T06:15:27.000Z","updated_at":"2024-03-21T07:30:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"d2ffa39e-bd3b-4fe3-a1a0-6bdd4291a486","html_url":"https://github.com/gokulnpc/Wine-Quality-Prediction","commit_stats":null,"previous_names":["gokulnpc/wine-quality-prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/gokulnpc/Wine-Quality-Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gokulnpc%2FWine-Quality-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gokulnpc%2FWine-Quality-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gokulnpc%2FWine-Quality-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gokulnpc%2FWine-Quality-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gokulnpc","download_url":"https://codeload.github.com/gokulnpc/Wine-Quality-Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gokulnpc%2FWine-Quality-Prediction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262981632,"owners_count":23394563,"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":["classification-model","machine-learning","random-forest-classifier","stream"],"created_at":"2024-12-07T04:11:35.466Z","updated_at":"2025-07-01T14:36:54.553Z","avatar_url":"https://github.com/gokulnpc.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Wine Quality Prediction\n\nThis web app is created to predict the quality of red wine based on the input features.\nThe model is trained using the Random Forest Classifier algorithm.\nThe dataset consists of 11 input features and 1 output feature. The input features are:\n1. fixed acidity\n2. volatile acidity\n3. citric acid\n4. residual sugar\n5. chlorides\n6. free sulfur dioxide\n7. total sulfur dioxide\n8. density\n9. pH\n10. sulphates\n11. alcohol\nThe output feature is the quality of the wine, which is a binary variable (0 or 1).\n\n\u003cimg width=\"960\" alt=\"image\" src=\"https://github.com/gokulnpc/Wine-Quality-Prediction/assets/105941681/4889f42f-1628-43dd-aa50-0cb484256d25\"\u003e\n\n\u003cimg width=\"960\" alt=\"image\" src=\"https://github.com/gokulnpc/Wine-Quality-Prediction/assets/105941681/d8e9ca59-c366-40a7-9c05-48fec4fade23\"\u003e\n\n\u003cimg width=\"960\" alt=\"image\" src=\"https://github.com/gokulnpc/Wine-Quality-Prediction/assets/105941681/28da027c-306b-47f5-8eb3-b0287ad221c8\"\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgokulnpc%2Fwine-quality-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgokulnpc%2Fwine-quality-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgokulnpc%2Fwine-quality-prediction/lists"}