{"id":26699657,"url":"https://github.com/vipulbunny/ml-learning_projects","last_synced_at":"2025-07-23T14:32:33.147Z","repository":{"id":284141536,"uuid":"953956241","full_name":"VIPULbunny/ML-Learning_Projects","owner":"VIPULbunny","description":"A collection of machine learning projects implemented in Python, showcasing core concepts like regression, classification, clustering, and model evaluation techniques. Ideal for learners and data science enthusiasts.","archived":false,"fork":false,"pushed_at":"2025-07-21T04:17:41.000Z","size":31772,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-21T06:19:10.553Z","etag":null,"topics":["classification","clustering","data-analysis","data-science","data-visualization","decision-trees","jupyter-notebook","machine-learning","model-evaluation","random-forest","regression","supervised-learning","unsupervised-learning"],"latest_commit_sha":null,"homepage":"https://github.com/VIPULbunny/ML-Learning_Projects","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/VIPULbunny.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":"Support Vector Regression/Diabetes_Dataset.csv","governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-03-24T10:47:09.000Z","updated_at":"2025-07-21T04:25:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"3101ad41-7d30-4d9e-8abf-96d9b252bd99","html_url":"https://github.com/VIPULbunny/ML-Learning_Projects","commit_stats":null,"previous_names":["vipulbunny/ml-learning_projects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/VIPULbunny/ML-Learning_Projects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VIPULbunny%2FML-Learning_Projects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VIPULbunny%2FML-Learning_Projects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VIPULbunny%2FML-Learning_Projects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VIPULbunny%2FML-Learning_Projects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VIPULbunny","download_url":"https://codeload.github.com/VIPULbunny/ML-Learning_Projects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VIPULbunny%2FML-Learning_Projects/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266694478,"owners_count":23969775,"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":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["classification","clustering","data-analysis","data-science","data-visualization","decision-trees","jupyter-notebook","machine-learning","model-evaluation","random-forest","regression","supervised-learning","unsupervised-learning"],"created_at":"2025-03-26T23:15:58.842Z","updated_at":"2025-07-23T14:32:33.134Z","avatar_url":"https://github.com/VIPULbunny.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"https://img.icons8.com/color/96/artificial-intelligence.png\" width=\"80\"/\u003e\n  \u003ch1\u003eML-Learning_Projects\u003c/h1\u003e\n  \u003cp\u003e\u003ci\u003eHands-on Machine Learning Projects for Practice \u0026 Portfolio\u003c/i\u003e\u003c/p\u003e\n\n  \u003cp align=\"center\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/stars/VIPULbunny/ML-Learning_Projects?style=social\" alt=\"GitHub stars\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/forks/VIPULbunny/ML-Learning_Projects?style=social\" alt=\"GitHub forks\"\u003e\n    \u003cimg src=\"https://img.shields.io/github/last-commit/VIPULbunny/ML-Learning_Projects\" alt=\"Last Commit\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/Machine%20Learning-Projects-blueviolet?style=flat\u0026logo=python\" alt=\"ML\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/Made%20By-Vipul%20Solanki-blue\" alt=\"Author\"\u003e\n  \u003c/p\u003e\n\u003c/div\u003e\n\n---\n\n## 🔍 Overview\n\nThis public repository contains curated machine learning mini-projects aimed at learning core ML concepts using Python.  \nEach project is implemented using real-world datasets and popular ML libraries. Ideal for:\n- Students \u0026 Freshers\n- Data Science Enthusiasts\n- Interview Preparation\n- Portfolio Building\n\n---\n\n## 🧠 Included Projects\n\n### 🔢 Supervised Learning\n| Project                     | Techniques Used                     |\n|----------------------------|-------------------------------------|\n| 🔹 Linear Regression        | Regression, Evaluation Metrics      |\n| 🔹 Logistic Regression      | Binary Classification               |\n| 🔹 Decision Tree            | Tree-based Classification           |\n| 🔹 Random Forest            | Ensemble Methods, Feature Importance |\n| 🔹 Support Vector Regression| SVM with kernels                    |\n| 🔹 K-Nearest Neighbors      | Lazy Learning, Distance Metrics     |\n\n### 🔍 Unsupervised Learning\n| Project         | Techniques Used       |\n|----------------|------------------------|\n| 🔹 Clustering   | K-Means, Elbow Method |\n\n### 📐 Model Validation\n| Project                  | Techniques Used                         |\n|--------------------------|-----------------------------------------|\n| 🔹 Cross Validation       | K-Fold, Stratified K-Fold, ShuffleSplit |\n\n### ❤️ Applied Projects\n| Project                | Domain            |\n|------------------------|-------------------|\n| 🔹 Heart Disease Prediction | Healthcare AI     |\n\n---\n\n## 🛠️ Technologies Used\n\n- Python 3.x\n- Jupyter Notebook\n- `scikit-learn`, `pandas`, `numpy`, `matplotlib`, `seaborn`\n\n\u003e Tip: These notebooks are best viewed via [Jupyter Notebook Viewer](https://nbviewer.org/) or directly on GitHub.\n\n---\n\n## 🚀 Getting Started\n## 🚀 Getting Started\n\n```bash\n# Clone the repository\ngit clone https://github.com/VIPULbunny/ML-Learning_Projects.git\ncd ML-Learning_Projects\n\n# Create a virtual environment\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\Scripts\\activate\n\n# Install dependencies\npip install -r requirements.txt\n```\n---\n\n## 📁 Project Structure\n\n```\nML-Learning_Projects\n├── Clustering\n│   ├── Association\n│   │     └── Apriori\n│   │     └──Eclat\n│   └── KMeans\n├── Cross Validation Techniques\n│   └── Cross_Validation.ipynb\n├── Decision Tree\n│   └── Car_Price_prediction.ipynb\n├── Heart disease Prediction\n│   └── Heart_Disease_Prediction.ipynb\n├── KNN\n│   ├── MOVIES_project\n│   └── KNN_Iphone_purchesed.ipynb\n├── Linear Regression\n│   ├── HousePrice.ipynb\n│   └── Linear_Regression_Model.ipynb\n├── Logistic Regression\n│   ├── Titanic_suvival_project.ipynb\n│   └── Logistic_Regression_Model.ipynb\n├── Random Forest\n│   ├── Credit Card Fraud Detection\n│   └── Random_F_Regressor.ipynb\n├── Support Vector Regression\n│   ├── SVM(SVR)\n│   ├── SVM.ipynb\n│   ├──SVM_with_STD.ipynb\n│   └── SVM_without_STD.ipynb\n└── README.md\n```\n\n\n---\n## 🔭 Live Preview Options\n\n- 📘 [View on NBViewer](https://nbviewer.org/github/VIPULbunny/ML-Learning_Projects/)\n- ⚙️ [Run on Google Colab](https://colab.research.google.com/github/VIPULbunny/ML-Learning_Projects/)\n\n---\n\n## 👨‍💻 Author\n\n**Vipul Solanki**  \n📍 Computer Engineering Student – RGIT, Mumbai  \n💼 Data Science \u0026 AI Enthusiast  \n📫 Email: [vipulsolanki339@gmail.com](mailto:vipulsolanki339@gmail.com)  \n🔗 [LinkedIn](https://www.linkedin.com/in/vipulsolanki777/)  \n💻 [GitHub](https://github.com/VIPULbunny)\n\n---\n\n## ⭐ Support\n\nIf you find this repository helpful:\n\n- ⭐ Star the repo  \n- 🍴 Fork it  \n- 🧠 Share it  \n- 💬 Connect with me  \n\n**Contributions are welcome!**  \nFeel free to open an issue or submit a pull request.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvipulbunny%2Fml-learning_projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvipulbunny%2Fml-learning_projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvipulbunny%2Fml-learning_projects/lists"}