{"id":22774277,"url":"https://github.com/gaurav0502/flight-delay-prediction","last_synced_at":"2025-07-13T03:38:59.242Z","repository":{"id":267060842,"uuid":"878726717","full_name":"Gaurav0502/flight-delay-prediction","owner":"Gaurav0502","description":"Multiclass Classification of flight delays","archived":false,"fork":false,"pushed_at":"2024-12-08T03:13:30.000Z","size":8035,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-05T14:42:44.473Z","etag":null,"topics":["applied-machine-learning","aviation-data","python","seaborn","sklearn"],"latest_commit_sha":null,"homepage":"","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/Gaurav0502.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":"2024-10-26T00:32:30.000Z","updated_at":"2024-12-08T03:13:33.000Z","dependencies_parsed_at":null,"dependency_job_id":"a86528eb-d864-4cdd-a240-0b4dfa9240a6","html_url":"https://github.com/Gaurav0502/flight-delay-prediction","commit_stats":null,"previous_names":["gaurav0502/flight-delay-prediction"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaurav0502%2Fflight-delay-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaurav0502%2Fflight-delay-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaurav0502%2Fflight-delay-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gaurav0502%2Fflight-delay-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gaurav0502","download_url":"https://codeload.github.com/Gaurav0502/flight-delay-prediction/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246320194,"owners_count":20758410,"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":["applied-machine-learning","aviation-data","python","seaborn","sklearn"],"created_at":"2024-12-11T18:13:33.136Z","updated_at":"2025-03-30T13:11:26.248Z","avatar_url":"https://github.com/Gaurav0502.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multiclass classification of arrival delay of flights\n\n## Aim\n\nTo explore tree-based models for the prediction of the arrival delay of aircrafts on US domestic routes by binning the arrival delay.\n\n## Datasets\n\n- The Airline Delay Dataset is available \u003ca href=\"https://data.mendeley.com/datasets/j3z5bm7496/1\"\u003ehere\u003c/a\u003e.\n\n## Models Used\n\nThe following tree-based models are used from `sklearn`:\n\n- Decision Tree\n- Random Forest Classifier\n- Gradient Boosting Classifier\n- Histogram Gradient Boosting Classifier\n\n## Directory structure\n\n```bash\n.\n├── DelayData.csv\n├── README.md\n├── main.ipynb\n└── requirements.txt\n\n1 directory, 4 files\n```\n\n## Instructions to execute the code\n\nThe `main.ipynb` notebook can be used after completing the following steps:\n\n- Download the dataset from the URL above.\n- Ensure the dataset is named as `DelayData.csv` and in the location same as that of the notebook (refer the directory structure above).\n- Install all the required modules from `requirements.txt`.\n\n```bash\npip install -r requirements.txt\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaurav0502%2Fflight-delay-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgaurav0502%2Fflight-delay-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgaurav0502%2Fflight-delay-prediction/lists"}