{"id":19637088,"url":"https://github.com/ali-el-badry/machine-learning-algorithm","last_synced_at":"2025-02-26T21:45:18.513Z","repository":{"id":256024543,"uuid":"854150414","full_name":"Ali-EL-Badry/Machine-learning-Algorithm","owner":"Ali-EL-Badry","description":"It is a Repo that contain different type of Machine Learning Algorithm like Regression ,classification and clustering that will be added soon","archived":false,"fork":false,"pushed_at":"2025-02-12T16:15:45.000Z","size":3220,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T17:26:55.444Z","etag":null,"topics":["ai","data-science","data-visualization","decision-tree","feature-selection","knn","linear-regression","logestic-regression","machine-learning","modelling","random-forest","svc","svm","titanic-kaggle","xgboost","xgboost-classifier"],"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/Ali-EL-Badry.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":"2024-09-08T14:08:10.000Z","updated_at":"2025-02-12T16:15:49.000Z","dependencies_parsed_at":"2025-02-12T17:35:10.089Z","dependency_job_id":null,"html_url":"https://github.com/Ali-EL-Badry/Machine-learning-Algorithm","commit_stats":null,"previous_names":["ali-el-badry/house-pricing","ali-el-badry/machine-learning-algorithm"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ali-EL-Badry%2FMachine-learning-Algorithm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ali-EL-Badry%2FMachine-learning-Algorithm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ali-EL-Badry%2FMachine-learning-Algorithm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ali-EL-Badry%2FMachine-learning-Algorithm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ali-EL-Badry","download_url":"https://codeload.github.com/Ali-EL-Badry/Machine-learning-Algorithm/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240941503,"owners_count":19882062,"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":["ai","data-science","data-visualization","decision-tree","feature-selection","knn","linear-regression","logestic-regression","machine-learning","modelling","random-forest","svc","svm","titanic-kaggle","xgboost","xgboost-classifier"],"created_at":"2024-11-11T12:33:09.501Z","updated_at":"2025-02-26T21:45:18.509Z","avatar_url":"https://github.com/Ali-EL-Badry.png","language":"Jupyter Notebook","readme":"# 📌 Machine Learning Repository\n\n## Overview\nThis repository serves as a comprehensive guide to **Machine Learning**, covering all major types of ML techniques. 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Each notebook provides hands-on implementation with real-world datasets, detailed explanations, and best practices.\n\n## 📂 Repository Structure\n- **📁 Supervised Learning**  \n  - Regression (Linear Regression, Decision Trees, etc.)  \n  - Classification (Logistic Regression, SVM, Random Forest, etc.)  \n- **📁 Unsupervised Learning**  \n  - Clustering (K-Means, DBSCAN, Hierarchical Clustering)  \n  - Dimensionality Reduction (PCA, t-SNE)  \n- **📁 Semi-Supervised Learning**  \n  - Self-training, Label Propagation  \n- **📁 Reinforcement Learning**  \n  - Q-Learning, Deep Q-Networks (DQN), Policy Gradient  \n\nEach notebook is well-documented, with **code walkthroughs, visualizations, and theoretical insights** to help users understand and implement machine learning models effectively.\n\n## 🚀 Getting Started\n- Clone the repository:  \n   ```bash\n   git clone https://github.com/your-username/machine-learning-repo.git  \n   ```\n\n## 📜 Requirements\n- Python 3.x  \n- Scikit-Learn, TensorFlow, PyTorch  \n- Pandas, NumPy, Matplotlib, Seaborn  \n\n## 🎯 Target Audience\nThis repository is ideal for **beginners, students, and professionals** looking to learn or revise machine learning concepts with hands-on implementation.\n\n## ⭐ Contributing\nFeel free to contribute by adding new examples, improving existing code, or updating documentation.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fali-el-badry%2Fmachine-learning-algorithm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fali-el-badry%2Fmachine-learning-algorithm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fali-el-badry%2Fmachine-learning-algorithm/lists"}