{"id":20130592,"url":"https://github.com/md-emon-hasan/machine-learning-with-scikit-learn-from-w3schools","last_synced_at":"2026-06-07T04:31:24.883Z","repository":{"id":247442433,"uuid":"651904295","full_name":"Md-Emon-Hasan/Machine-Learning-with-Scikit-learn-From-W3Schools","owner":"Md-Emon-Hasan","description":"A repository featuring machine learning tutorials using scikit-learn sourced from W3Schools, covering practical implementations and examples in Python.","archived":false,"fork":false,"pushed_at":"2024-07-08T16:44:13.000Z","size":93,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-02T21:42:58.096Z","etag":null,"topics":["artificial-intelligence","eda","machine-learning","machine-learning-algorithms","ml","statistics","w3schools-clone"],"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":"2023-06-10T12:57:01.000Z","updated_at":"2024-07-10T07:16:07.000Z","dependencies_parsed_at":"2024-07-08T21:05:06.989Z","dependency_job_id":"b54f5698-1ab4-4dd9-9f39-fc51ef319df8","html_url":"https://github.com/Md-Emon-Hasan/Machine-Learning-with-Scikit-learn-From-W3Schools","commit_stats":null,"previous_names":["md-emon-hasan/machine-learning-with-scikit-learn-from-w3schools"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Md-Emon-Hasan/Machine-Learning-with-Scikit-learn-From-W3Schools","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine-Learning-with-Scikit-learn-From-W3Schools","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine-Learning-with-Scikit-learn-From-W3Schools/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine-Learning-with-Scikit-learn-From-W3Schools/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine-Learning-with-Scikit-learn-From-W3Schools/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-with-Scikit-learn-From-W3Schools/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Md-Emon-Hasan%2FMachine-Learning-with-Scikit-learn-From-W3Schools/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":27334920,"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","status":"online","status_checked_at":"2025-11-29T02:00:06.589Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["artificial-intelligence","eda","machine-learning","machine-learning-algorithms","ml","statistics","w3schools-clone"],"created_at":"2024-11-13T20:39:08.414Z","updated_at":"2025-11-29T05:07:06.505Z","avatar_url":"https://github.com/Md-Emon-Hasan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning with Scikit-learn from W3Schools\n\nWelcome to the **Machine Learning with Scikit-learn from W3Schools** repository! This project contains practical examples and exercises based on the Scikit-learn machine learning library, sourced from W3Schools tutorials, aimed at helping you learn and implement various machine learning algorithms.\n\n## 📋 Contents\n\n- [Introduction](#introduction)\n- [Objective](#objective)\n- [Key Features](#key-features)\n- [Technology Stack](#technology-stack)\n- [Getting Started](#getting-started)\n- [Contributing](#contributing)\n- [Challenges Faced](#challenges-faced)\n- [Lessons Learned](#lessons-learned)\n- [Why I Created This Project](#why-i-created-this-project)\n- [License](#license)\n- [Contact](#contact)\n\n---\n\n## 📖 Introduction\n\nThis repository hosts a series of machine learning examples and exercises using the Scikit-learn library, inspired by W3Schools tutorials. It aims to provide practical implementations of various machine learning algorithms and techniques to facilitate learning and experimentation.\n\n---\n\n## 🎯 Objective\n\nThe objective of this project is to offer a hands-on approach to learning machine learning with Scikit-learn through practical examples and exercises. It is designed to cater to beginners as well as intermediate learners who wish to deepen their understanding and skills in machine learning.\n\n---\n\n## ✨ Key Features\n\n- **Comprehensive Examples:** Step-by-step implementation of machine learning algorithms.\n- **Practical Exercises:** Real-world datasets and exercises to apply learned concepts.\n- **Interactive Learning:** Jupyter notebooks for interactive exploration and experimentation.\n- **Clear Documentation:** Well-commented code and explanations for easy understanding.\n- **Diverse Topics:** Coverage of various machine learning algorithms including classification, regression, clustering, and more.\n\n---\n\n## 🛠️ Technology Stack\n\n- **Python:** The primary programming language used in this project.\n- **Scikit-learn:** A machine learning library for Python that provides simple and efficient tools for data mining and data analysis.\n- **Jupyter Notebook:** An open-source web application for creating and sharing documents that contain live code, equations, visualizations, and narrative text.\n- **Pandas:** A powerful data analysis and manipulation library for Python.\n- **NumPy:** A fundamental package for scientific computing with Python.\n\n---\n\n## 🚀 Getting Started\n\nTo get a local copy of this project up and running on your machine, follow these simple steps:\n\n### Prerequisites\n\nEnsure you have Python and Jupyter Notebook installed on your local machine. You can download Python from [here](https://www.python.org/downloads/) and Jupyter Notebook from [here](https://jupyter.org/install).\n\n### Installation\n\n1. **Clone the repository:**\n\n   ```bash\n   git clone https://github.com/Md-Emon-Hasan/Machine-Learning-with-Scikit-learn-From-W3Schools.git\n   ```\n\n2. **Navigate to the project directory:**\n\n   ```bash\n   cd Machine-Learning-with-Scikit-learn-From-W3Schools\n   ```\n\n3. **Install the required packages:**\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. **Launch Jupyter Notebook:**\n\n   ```bash\n   jupyter notebook\n   ```\n\n5. **Open any notebook and start exploring:**\n\n   - Navigate to the `notebooks` directory and open any `.ipynb` file to start learning.\n\n---\n\n## 🤝 Contributing\n\nContributions are welcome and encouraged! Here's how you can contribute to this project:\n\n1. **Fork the repository:**\n\n   ```bash\n   git clone https://github.com/Md-Emon-Hasan/Machine-Learning-with-Scikit-learn-From-W3Schools.git\n   ```\n\n2. **Create a new branch:**\n\n   ```bash\n   git checkout -b feature/new-feature\n   ```\n\n3. **Make your changes:**\n\n   - Make updates or add new features to the project.\n\n4. **Commit your changes:**\n\n   ```bash\n   git commit -am 'Add a new feature'\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   - Go to the [repository](https://github.com/Md-Emon-Hasan/Machine-Learning-with-Scikit-learn-From-W3Schools) and click on the \"Pull Requests\" tab.\n   - Click the green \"New pull request\" button.\n   - Select the branch you made your changes on.\n   - Click \"Create pull request.\"\n\n---\n\n## 🛠️ Challenges Faced\n\nDuring the development of this project, several challenges were encountered:\n\n- **Model Selection:** Choosing the right machine learning models for different types of datasets and problems.\n- **Performance Tuning:** Optimizing model performance and accuracy through parameter tuning and feature selection.\n\n---\n\n## 📚 Lessons Learned\n\nThrough the development process, several key lessons were learned:\n\n- **Practical Application:** Applied theoretical machine learning concepts to real-world datasets and problems.\n- **Model Evaluation:** Gained insights into evaluating model performance and choosing appropriate metrics.\n- **Workflow Efficiency:** Streamlined the machine learning workflow using Python and Scikit-learn, enhancing productivity.\n\n---\n\n## 🌟 Why I Created This Project\n\nI created this project to provide a practical and structured learning experience for individuals interested in mastering machine learning with Scikit-learn. By leveraging the tutorials and resources from W3Schools, this project aims to offer comprehensive examples and exercises that facilitate learning and skill development.\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-with-scikit-learn-from-w3schools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmd-emon-hasan%2Fmachine-learning-with-scikit-learn-from-w3schools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmd-emon-hasan%2Fmachine-learning-with-scikit-learn-from-w3schools/lists"}