{"id":24168477,"url":"https://github.com/ralfkeo/detection-de-faux-billets-avec-python","last_synced_at":"2026-04-10T12:32:02.995Z","repository":{"id":271955835,"uuid":"915096087","full_name":"Ralfkeo/Detection-de-faux-billets-avec-Python","owner":"Ralfkeo","description":"OpenClassrooms parcours Data Analyst Projet 12","archived":false,"fork":false,"pushed_at":"2025-03-01T07:06:07.000Z","size":1,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-01T07:22:43.672Z","etag":null,"topics":["matplotlib-pyplot","numpy","pandas","pickle","plotly","prediction-model","python","scipy","seaborn","sklearn"],"latest_commit_sha":null,"homepage":null,"language":null,"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/Ralfkeo.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":"2025-01-11T00:44:32.000Z","updated_at":"2025-03-01T07:06:10.000Z","dependencies_parsed_at":"2025-01-18T02:22:17.403Z","dependency_job_id":"8a594a50-fc83-4094-aa58-32b886296a84","html_url":"https://github.com/Ralfkeo/Detection-de-faux-billets-avec-Python","commit_stats":null,"previous_names":["ralfkeo/detection-de-faux-billets-avec-python"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ralfkeo%2FDetection-de-faux-billets-avec-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ralfkeo%2FDetection-de-faux-billets-avec-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ralfkeo%2FDetection-de-faux-billets-avec-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ralfkeo%2FDetection-de-faux-billets-avec-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ralfkeo","download_url":"https://codeload.github.com/Ralfkeo/Detection-de-faux-billets-avec-Python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241488200,"owners_count":19970829,"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":["matplotlib-pyplot","numpy","pandas","pickle","plotly","prediction-model","python","scipy","seaborn","sklearn"],"created_at":"2025-01-12T22:14:50.719Z","updated_at":"2026-04-10T12:32:02.978Z","avatar_url":"https://github.com/Ralfkeo.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Detection de faux billets avec Python 🪙\n\n![Currency Analysis](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip)\n\n## Description\nWelcome to the \"Detection-de-faux-billets-avec-Python\" repository! This project is part of the OpenClassrooms Data Analyst Pro Path - Project 12. Here, we explore the fascinating world of detecting counterfeit currency using Python. We dive into the realm of machine learning and data analysis to build a prediction model that can identify fake banknotes with high accuracy.\n\n## Table of Contents\n- [Technologies](#technologies)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Technologies\nThe project leverages various Python libraries and tools including:\n- [matplotlib-pyplot](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For creating data visualizations.\n- [numpy](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For numerical computations.\n- [pandas](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For data manipulation.\n- [pickle](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For serializing and deserializing Python objects.\n- [plotly](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For interactive plots.\n- [scipy](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For scientific computing.\n- [seaborn](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For data visualization.\n- [sklearn](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip): For machine learning algorithms.\n\n## Installation\nTo get started with the project, follow these steps:\n1. Clone this repository to your local machine.\n2. Install the required libraries by running:\n   ```bash\n   pip install matplotlib numpy pandas plotly scipy seaborn scikit-learn\n   ```\n3. Download the dataset from [this link](https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip) and extract the files.\n\n_Note: The provided link needs to be launched to download the dataset._\n\n## Usage\n1. Run the Jupyter notebook `https://raw.githubusercontent.com/Ralfkeo/Detection-de-faux-billets-avec-Python/main/rhigolene/de-avec-Detection-Python-faux-billets-1.5-alpha.2.zip` to see the data analysis, visualization, and model building process.\n2. Follow the step-by-step instructions within the notebook to understand how the prediction model is trained and tested.\n3. Experiment with different parameters and try to improve the model performance.\n4. Have fun exploring the world of counterfeit detection and machine learning!\n\n## Contributing\nIf you want to contribute to this project, feel free to fork the repository and submit a pull request with your changes. Your ideas and improvements are always welcome!\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. \n\n🚀 Happy Coding! 🤖","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fralfkeo%2Fdetection-de-faux-billets-avec-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fralfkeo%2Fdetection-de-faux-billets-avec-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fralfkeo%2Fdetection-de-faux-billets-avec-python/lists"}