{"id":24357054,"url":"https://github.com/saidabderrahmane/bus_line_supervision","last_synced_at":"2026-04-11T06:42:24.546Z","repository":{"id":272177453,"uuid":"912514759","full_name":"SaidAbderrahmane/bus_line_supervision","owner":"SaidAbderrahmane","description":"Performance evaluation of the Saint-Sébastien bus line using real data to predict the number of passengers.","archived":false,"fork":false,"pushed_at":"2025-01-12T17:32:24.000Z","size":4278,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-12T18:32:15.262Z","etag":null,"topics":["beautifulsoup4","data-analysis","data-science","deep-learning","machine-learning","python","scraper","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/SaidAbderrahmane.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":"2025-01-05T19:32:07.000Z","updated_at":"2025-01-12T17:55:22.000Z","dependencies_parsed_at":"2025-01-12T18:42:28.031Z","dependency_job_id":null,"html_url":"https://github.com/SaidAbderrahmane/bus_line_supervision","commit_stats":null,"previous_names":["saidabderrahmane/bus_line_supervision"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SaidAbderrahmane%2Fbus_line_supervision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SaidAbderrahmane%2Fbus_line_supervision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SaidAbderrahmane%2Fbus_line_supervision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SaidAbderrahmane%2Fbus_line_supervision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SaidAbderrahmane","download_url":"https://codeload.github.com/SaidAbderrahmane/bus_line_supervision/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243179822,"owners_count":20249178,"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":["beautifulsoup4","data-analysis","data-science","deep-learning","machine-learning","python","scraper","sklearn"],"created_at":"2025-01-18T18:55:32.614Z","updated_at":"2025-12-26T06:10:49.649Z","avatar_url":"https://github.com/SaidAbderrahmane.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n## Project Overview\nPerformance evaluation of the Saint-Sébastien bus line using real data to predict the number of passengers.\n\n## General Objectives:\n- Data analysis and extraction of contextual variables (temporal factors, weather, special events).\n- Design of a predictive model for passenger traffic using XGBoost, based on temporal, weather, and event-based data.\n- Hyperparameter optimization and evaluation using metrics such as MSE and RMSE to ensure accuracy.\n\n## Project Structure\n\nThe project is structured as follows:\n\n- `docs`: contains the project specification and evaluation guidelines.\n- `data`: contains the raw datasets used and the extracted features.\n- `models`: contains the model used for prediction.\n- `main.ipynb`: The Jupyter notebook used for data analysis and model prototyping.\n- `scrapper.py`: The Python script used to scrape the football games data.\n- `requirements.txt`: contains the Python packages required to run the project.\n\n\n## Setup\n\n- Install the required packages using `pip install -r requirements.txt`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaidabderrahmane%2Fbus_line_supervision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaidabderrahmane%2Fbus_line_supervision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaidabderrahmane%2Fbus_line_supervision/lists"}