{"id":14977201,"url":"https://github.com/benjdiasaad/webapp-ml-salaryprediction","last_synced_at":"2025-06-29T06:33:35.253Z","repository":{"id":108581489,"uuid":"363799010","full_name":"benjdiasaad/WebApp-ML-salaryprediction","owner":"benjdiasaad","description":"Application Web de prédiction de salaire en utilisant Streamlit","archived":false,"fork":false,"pushed_at":"2021-08-04T12:25:38.000Z","size":10270,"stargazers_count":13,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-08T14:22:46.490Z","etag":null,"topics":["ipython-notebook","machine-learning","prediction-algorithm","python","salary-prediction","streamlit","streamlit-webapp","vscode","web-application"],"latest_commit_sha":null,"homepage":"","language":"Python","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/benjdiasaad.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":"2021-05-03T02:39:05.000Z","updated_at":"2024-10-05T09:37:19.000Z","dependencies_parsed_at":"2023-03-21T20:48:31.432Z","dependency_job_id":null,"html_url":"https://github.com/benjdiasaad/WebApp-ML-salaryprediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/benjdiasaad/WebApp-ML-salaryprediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benjdiasaad%2FWebApp-ML-salaryprediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benjdiasaad%2FWebApp-ML-salaryprediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benjdiasaad%2FWebApp-ML-salaryprediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benjdiasaad%2FWebApp-ML-salaryprediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/benjdiasaad","download_url":"https://codeload.github.com/benjdiasaad/WebApp-ML-salaryprediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benjdiasaad%2FWebApp-ML-salaryprediction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262547261,"owners_count":23327136,"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":["ipython-notebook","machine-learning","prediction-algorithm","python","salary-prediction","streamlit","streamlit-webapp","vscode","web-application"],"created_at":"2024-09-24T13:55:16.901Z","updated_at":"2025-06-29T06:33:30.245Z","avatar_url":"https://github.com/benjdiasaad.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Salary Prediction - Machine Learning Web App [Python, Machine Learning]\n\nHello! My application named \"Salary Prediction\".\n\n## À propos de ce projet\nC'est une application Web Machine Learning en Python avec Streamlit. j'ai utilisé des données du monde réel pour créer un modèle d'apprentissage automatique. Analyser les données et construiser notre modèle, et par la suite j'ai construit l'application Web à l'aide de streamlit.\n\n## Installation\n\nPour que le projet soit opérationnel sur votre ordinateur local, procédez comme suit :\n\n1. cloner avec l'url donnée en utilisant commande =\u003e git clone https://github.com/benjdiasaad/WebApp-ML-salaryprediction\n2. Exécutez **pip install streamlit**, pour installer streamlit\n3. Exécutez la commande **streamlit run app.py** dans votre invite de commande pour démarrer l'application\n\n## Technologies utilisées\n\n* Python.\n* Les algorithmes de ML.\n* Jupyter Notebook.\n* Visual Studio Code (IDE).\n* Git.\n\n## Screen Shots\n![01 - home page](https://github.com/benjdiasaad/WebApp-ML-salaryprediction/blob/main/screenshots/1.png)\n![02 - predict salary](https://github.com/benjdiasaad/WebApp-ML-salaryprediction/blob/main/screenshots/2.png)\n![03 - explore](https://github.com/benjdiasaad/WebApp-ML-salaryprediction/blob/main/screenshots/3.png)\n![02 - histogram](https://github.com/benjdiasaad/WebApp-ML-salaryprediction/blob/main/screenshots/4.png)\n![02 - plot](https://github.com/benjdiasaad/WebApp-ML-salaryprediction/blob/main/screenshots/5.png)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenjdiasaad%2Fwebapp-ml-salaryprediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenjdiasaad%2Fwebapp-ml-salaryprediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenjdiasaad%2Fwebapp-ml-salaryprediction/lists"}