{"id":25627150,"url":"https://github.com/rohitinu6/salary-prediction","last_synced_at":"2026-04-13T21:31:45.859Z","repository":{"id":275868768,"uuid":"927451942","full_name":"rohitinu6/Salary-Prediction","owner":"rohitinu6","description":"This project predicts salaries using machine learning models based on factors such as country, race, and demographic details.","archived":false,"fork":false,"pushed_at":"2025-02-06T02:49:58.000Z","size":1904,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-12T21:03:01.025Z","etag":null,"topics":["data-science","eda","machine-learning","machine-learning-algorithms","python","salary-prediction","visualization"],"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/rohitinu6.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-02-05T01:19:15.000Z","updated_at":"2025-02-06T02:51:24.000Z","dependencies_parsed_at":"2025-11-12T21:01:58.507Z","dependency_job_id":null,"html_url":"https://github.com/rohitinu6/Salary-Prediction","commit_stats":null,"previous_names":["rohitinu6/salary-prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rohitinu6/Salary-Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FSalary-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FSalary-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FSalary-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FSalary-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rohitinu6","download_url":"https://codeload.github.com/rohitinu6/Salary-Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitinu6%2FSalary-Prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31771813,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T20:17:16.280Z","status":"ssl_error","status_checked_at":"2026-04-13T20:17:08.216Z","response_time":93,"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":["data-science","eda","machine-learning","machine-learning-algorithms","python","salary-prediction","visualization"],"created_at":"2025-02-22T17:32:32.153Z","updated_at":"2026-04-13T21:31:45.851Z","avatar_url":"https://github.com/rohitinu6.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Salary Prediction based on Country and Race\n\n## 📌 Project Overview\n\nThis project predicts salaries using machine learning models based on factors such as country, race, and demographic details. The goal is to analyze salary disparities and identify key predictors of income.\n\n## 🚀 Features\n\n- Data preprocessing and exploratory data analysis (EDA)\n- Feature engineering and selection\n- Machine learning model implementation\n- Model evaluation and performance analysis\n- Visualization of salary trends\n\n## 🛠 Tech Stack\n\n- Python\n- Pandas, NumPy\n- Scikit-learn\n- Matplotlib, Seaborn\n- Jupyter Notebook\n\n## 📚 Dataset\n\nThe dataset includes variables such as:\n\n- **Country**\n- **Race**\n- **Education Level**\n- **Years of Experience**\n- **Job Title**\n- **Salary**\n\n## 📊 Machine Learning Models Used\n\n- Linear Regression\n- Random Forest Regressor\n- Gradient Boosting Regressor\n- Support Vector Machine (SVM)\n\n## 🔥 Results\n\nModels are evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared values. The best-performing model provides insights into salary variations.\n\n## 📁 Repository Structure\n\n```\n📚 Salary-Prediction\n|--📂 data (Dataset \u0026 processed data)\n|--📂 notebooks (Jupyter Notebooks)\n|--📂 models (Trained models)\n|--📂 images (Code and Results Screenshots)\n|--📄 README.md (Project documentation)\n```\n\n## 🎨 Code and Results\n\nInclude images of code and results in the `images` folder. Example:\n\n\u0026#x20;\n\n## 📚 How to Run the Project\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/rohitinu6/Salary-Prediction.git\n   ```\n2. Navigate to the project folder:\n   ```bash\n   cd Salary-Prediction\n   ```\n3. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n4. Run the Jupyter Notebook or Python scripts to train and test models.\n\n## 📞 Links\n\n- **GitHub Repository:** [Salary Prediction](https://github.com/rohitinu6/Salary-Prediction.git)\n- **Portfolio:** [Rohit Dubey](https://tinyurl.com/dubeyrohit)\n- **GitHub Profile:** [rohitinu6](https://github.com/rohitinu6)\n- **LinkedIn:** [Rohit Dubey](https://www.linkedin.com/in/rohit-dubey-d/)\n- **Twitter/X:** [@rohitdubey003](https://x.com/rohitdubey003)\n\n## 🐖 Tags\n\n`Machine Learning` `Salary Prediction` `Data Science` `Python` `EDA`\n\n## 📝 License\n\nThis project is licensed under the [MIT License](https://opensource.org/licenses/MIT).\n\n---\n\n💡 **For any queries or collaboration opportunities, feel free to connect!** 🚀\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohitinu6%2Fsalary-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frohitinu6%2Fsalary-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohitinu6%2Fsalary-prediction/lists"}