{"id":20130584,"url":"https://github.com/md-emon-hasan/machine_learning_basic","last_synced_at":"2026-05-05T16:38:23.132Z","repository":{"id":247562178,"uuid":"702877283","full_name":"Md-Emon-Hasan/Machine_Learning_Basic","owner":"Md-Emon-Hasan","description":"Featuring basic machine learning projects, demonstrating concepts and implementations using Python and popular machine learning libraries.","archived":false,"fork":false,"pushed_at":"2024-07-09T09:29:07.000Z","size":1447,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-02T21:42:56.852Z","etag":null,"topics":["machine-learning","machine-learning-algorithms","ml","project-repository","projects","supervised-learning","supervised-machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Md-Emon-Hasan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-10-10T07:21:09.000Z","updated_at":"2024-07-28T08:29:41.000Z","dependencies_parsed_at":"2024-07-09T12:14:54.025Z","dependency_job_id":null,"html_url":"https://github.com/Md-Emon-Hasan/Machine_Learning_Basic","commit_stats":null,"previous_names":["md-emon-hasan/machine_learning_basic_project","md-emon-hasan/machine_learning_basic"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine_Learning_Basic","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine_Learning_Basic/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine_Learning_Basic/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine_Learning_Basic/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Md-Emon-Hasan","download_url":"https://codeload.github.com/Md-Emon-Hasan/Machine_Learning_Basic/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241577071,"owners_count":19984940,"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":["machine-learning","machine-learning-algorithms","ml","project-repository","projects","supervised-learning","supervised-machine-learning"],"created_at":"2024-11-13T20:39:07.549Z","updated_at":"2026-05-05T16:38:23.061Z","avatar_url":"https://github.com/Md-Emon-Hasan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Basic Projects\n\nWelcome to the **Machine Learning Basic Projects** repository! This repository contains basic machine-learning projects that cover fundamental concepts and techniques. Whether you're new to machine learning or looking to reinforce your skills, you'll find practical projects here to help you get started.\n\n## 📋 Contents\n\n- [Introduction](#introduction)\n- [Techniques Covered](#techniques-covered)\n- [Getting Started](#getting-started)\n- [Contributing](#contributing)\n- [Challenges Faced](#challenges-faced)\n- [Lessons Learned](#lessons-learned)\n- [License](#license)\n- [Contact](#contact)\n\n---\n\n## 📖 Introduction\n\nThis repository aims to provide hands-on experience with basic machine learning projects. Each project focuses on applying essential machine learning techniques to solve real-world problems or datasets. Whether you're interested in classification, regression, or clustering, you'll find projects tailored to various domains.\n\n---\n\n## 📚 Techniques Covered\n\nProjects in this repository cover fundamental machine learning techniques, including:\n\n- **Classification:** Predicting categorical outcomes.\n- **Regression:** Predicting continuous values.\n- **Clustering:** Grouping similar data points.\n- **Dimensionality Reduction:** Simplifying data while preserving important features.\n- **Model Evaluation:** Assessing model performance using metrics like accuracy, precision, recall, etc.\n\n---\n\n## 🚀 Getting Started\n\nTo get started with these machine learning projects, follow these steps:\n\n1. **Clone the repository:**\n\n   ```bash\n   git clone https://github.com/Md-Emon-Hasan/Machine_Learning_Basic_project.git\n   ```\n\n2. **Navigate to the project directory:**\n\n   ```bash\n   cd Machine_Learning_Basic_project\n   ```\n\n3. **Explore the projects:**\n\n   - Navigate to each project directory.\n   - Review the README and documentation for setup instructions and details.\n\n---\n\n## 🤝 Contributing\n\nContributions to enhance or expand the repository are welcome! Here's how you can contribute:\n\n1. **Fork the repository.**\n2. **Create a new branch:**\n\n   ```bash\n   git checkout -b feature/new-feature\n   ```\n\n3. **Make your changes:**\n\n   - Add new projects, improve documentation, or refactor code.\n\n4. **Commit your changes:**\n\n   ```bash\n   git commit -am 'Add a new project or update'\n   ```\n\n5. **Push to the branch:**\n\n   ```bash\n   git push origin feature/new-feature\n   ```\n\n6. **Submit a pull request.**\n\n---\n\n## 🛠️ Challenges Faced\n\nThroughout the development of this repository, challenges were encountered, including:\n\n- Data preprocessing and cleaning complexities.\n- Model selection and parameter tuning.\n- Interpretation and visualization of results.\n\n---\n\n## 📚 Lessons Learned\n\nKey lessons learned from developing this repository include:\n\n- Practical application of machine learning algorithms.\n- Importance of data preparation and feature engineering.\n- Evaluation and optimization of machine learning models.\n\n---\n\n## 📜 License\n\nThis project is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for more details.\n\n---\n\n## 📬 Contact\n\n- **Email:** [iconicemon01@gmail.com](mailto:iconicemon01@gmail.com)\n- **WhatsApp:** [+8801834363533](https://wa.me/8801834363533)\n- **GitHub:** [Md-Emon-Hasan](https://github.com/Md-Emon-Hasan)\n- **LinkedIn:** [Md Emon Hasan](https://www.linkedin.com/in/md-emon-hasan)\n- **Facebook:** [Md Emon Hasan](https://www.facebook.com/mdemon.hasan2001/)\n\nFeel free to reach out for any questions, feedback, or collaboration opportunities!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2Fmachine_learning_basic","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmd-emon-hasan%2Fmachine_learning_basic","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2Fmachine_learning_basic/lists"}