{"id":29544104,"url":"https://github.com/samya-s/machine-learning-specialization","last_synced_at":"2026-05-15T12:34:04.042Z","repository":{"id":304133870,"uuid":"1017843542","full_name":"Samya-S/Machine-Learning-Specialization","owner":"Samya-S","description":"Materials and lab assignments for the Machine Learning Specialization by Andrew Ng","archived":false,"fork":false,"pushed_at":"2025-08-01T06:17:05.000Z","size":27136,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-01T08:50:09.917Z","etag":null,"topics":["ai","artificial-intelligence","classification","decision-trees","machine-learning","ml","neural-networks","recommender-system","regression","reinforcement-learning","supervised-learning","unsupervised-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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Samya-S.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}},"created_at":"2025-07-11T07:26:07.000Z","updated_at":"2025-08-01T06:17:08.000Z","dependencies_parsed_at":"2025-07-11T11:55:03.172Z","dependency_job_id":null,"html_url":"https://github.com/Samya-S/Machine-Learning-Specialization","commit_stats":null,"previous_names":["samya-s/machine-learning-specialization"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Samya-S/Machine-Learning-Specialization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Samya-S%2FMachine-Learning-Specialization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Samya-S%2FMachine-Learning-Specialization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Samya-S%2FMachine-Learning-Specialization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Samya-S%2FMachine-Learning-Specialization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Samya-S","download_url":"https://codeload.github.com/Samya-S/Machine-Learning-Specialization/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Samya-S%2FMachine-Learning-Specialization/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33067359,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-15T11:35:32.926Z","status":"ssl_error","status_checked_at":"2026-05-15T11:35:31.362Z","response_time":103,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":["ai","artificial-intelligence","classification","decision-trees","machine-learning","ml","neural-networks","recommender-system","regression","reinforcement-learning","supervised-learning","unsupervised-learning"],"created_at":"2025-07-17T14:37:46.832Z","updated_at":"2026-05-15T12:34:04.038Z","avatar_url":"https://github.com/Samya-S.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Specialization\n\nThis repository contains materials and lab assignments for the [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction) by [Andrew Ng](https://www.andrewng.org/), organized into three main courses:\n\n## Course 1: Supervised Machine Learning - Regression and Classification  \n**[Go to Course 1 on Coursera](https://www.coursera.org/learn/machine-learning?specialization=machine-learning-introduction)**\n- **Description:** Introduction to supervised learning, including regression and classification techniques.\n- **Topics Covered:**\n  - Python and Jupyter basics\n  - Linear and logistic regression\n  - Cost functions and gradient descent\n  - Overfitting, regularization, and model evaluation\n- **Conversations with Andrew (Optional)**\n  - [Andrew Ng and Fei-Fei Li on Human-Centered AI](https://youtu.be/UNhC6Ox0T0o)\n\n## Course 2: Advanced Learning Algorithms  \n**[Go to Course 2 on Coursera](https://www.coursera.org/learn/advanced-learning-algorithms?specialization=machine-learning-introduction)**\n- **Description:** Explores advanced machine learning algorithms and neural networks using TensorFlow and Keras.\n- **Topics Covered:**\n  - Neural networks and deep learning\n  - Activation functions and backpropagation\n  - Model evaluation and selection\n  - Decision trees and ensemble methods\n- **Conversations with Andrew (Optional)**\n  - [Andrew Ng and Chris Manning on Natural Language Processing](https://youtu.be/6w0Po83ZmjA)\n\n## Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning  \n**[Go to Course 3 on Coursera](https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning?specialization=machine-learning-introduction)**\n- **Description:** Focuses on unsupervised learning, recommender systems, and reinforcement learning.\n- **Topics Covered:**\n  - K-means clustering and anomaly detection\n  - Principal Component Analysis (PCA)\n  - Collaborative and content-based recommender systems\n  - Reinforcement learning fundamentals\n- **Conversations with Andrew (Optional)**\n  - [Andrew Ng and Chelsea Finn on AI and Robotics](https://youtu.be/IT734HriiHQ)\n\n---\n\n## Getting Started\n1. Clone this repository.\n2. Open the desired course folder and navigate to the lab assignments.\n3. Launch the Jupyter Notebooks to begin working through the labs.\n\n## Requirements\n- Python 3.x\n- Jupyter Notebook\n- Common ML libraries: numpy, matplotlib, tensorflow, keras, etc.\n\n## License\nThis repository is for educational purposes only. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamya-s%2Fmachine-learning-specialization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamya-s%2Fmachine-learning-specialization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamya-s%2Fmachine-learning-specialization/lists"}