{"id":20505109,"url":"https://github.com/dhrupad17/codeclause_wine_quality_prediction","last_synced_at":"2026-04-25T11:34:56.855Z","repository":{"id":112540363,"uuid":"607049182","full_name":"dhrupad17/CodeClause_Wine_Quality_Prediction","owner":"dhrupad17","description":"This is My Task 2 as a Data science Intern at CodeClause","archived":false,"fork":false,"pushed_at":"2023-02-27T08:00:11.000Z","size":110,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-07T13:43:17.481Z","etag":null,"topics":["codeclause","codeclause-task","datascience","jupyter-notebook","python3"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dhrupad17.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":"2023-02-27T07:49:28.000Z","updated_at":"2023-02-27T07:51:06.000Z","dependencies_parsed_at":"2023-05-15T22:00:38.589Z","dependency_job_id":null,"html_url":"https://github.com/dhrupad17/CodeClause_Wine_Quality_Prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dhrupad17/CodeClause_Wine_Quality_Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhrupad17%2FCodeClause_Wine_Quality_Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhrupad17%2FCodeClause_Wine_Quality_Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhrupad17%2FCodeClause_Wine_Quality_Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhrupad17%2FCodeClause_Wine_Quality_Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dhrupad17","download_url":"https://codeload.github.com/dhrupad17/CodeClause_Wine_Quality_Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhrupad17%2FCodeClause_Wine_Quality_Prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32261116,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-25T09:15:33.318Z","status":"ssl_error","status_checked_at":"2026-04-25T09:15:31.997Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["codeclause","codeclause-task","datascience","jupyter-notebook","python3"],"created_at":"2024-11-15T19:43:50.202Z","updated_at":"2026-04-25T11:34:51.845Z","avatar_url":"https://github.com/dhrupad17.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🍷 Wine Quality Prediction 🍻\n\n## Description\n\nFor this project, I used Kaggle’s Red Wine Quality dataset to build various classification models to predict whether a particular red wine is “good quality” or not. Each wine in this dataset is given a “quality” score between 0 and 8. For the purpose of this project, I converted the output to a binary output where each wine is either “good quality” (a score of 7 or higher) or not (a score below 7). Here I have used ``Random Forest Algorithm`` to create my prediction model.\n\n\n### Dataset:-\n\nhttps://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009?select=winequality-red.csv\n\n### Overview:-\n\n![image](https://user-images.githubusercontent.com/91726340/221506269-05e5f8be-a1ec-4b07-89dc-cb6bb2c3e009.png)\n![image](https://user-images.githubusercontent.com/91726340/221506400-95f40794-479d-4834-b858-8ee0f716fefb.png)\n![image](https://user-images.githubusercontent.com/91726340/221506484-7524ce91-fa17-4981-9f52-b7b03e16a21e.png)\n![image](https://user-images.githubusercontent.com/91726340/221506547-e4cdaab0-92f3-40a8-98e5-5a0025307456.png)\n\n\n### Thank You\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhrupad17%2Fcodeclause_wine_quality_prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdhrupad17%2Fcodeclause_wine_quality_prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhrupad17%2Fcodeclause_wine_quality_prediction/lists"}