{"id":18387744,"url":"https://github.com/webobite/coursera-machine_learning_specialization","last_synced_at":"2025-07-26T14:37:58.542Z","repository":{"id":197689605,"uuid":"698996645","full_name":"webobite/coursera-Machine_Learning_Specialization","owner":"webobite","description":"https://www.coursera.org/specializations/machine-learning-introduction","archived":false,"fork":false,"pushed_at":"2023-10-03T03:39:07.000Z","size":2676,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-12T04:53:19.061Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/webobite.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":"2023-10-01T16:07:56.000Z","updated_at":"2023-10-02T01:54:44.000Z","dependencies_parsed_at":"2024-11-06T01:53:04.122Z","dependency_job_id":"1733805b-4dbb-40df-8c04-3841b4d3e432","html_url":"https://github.com/webobite/coursera-Machine_Learning_Specialization","commit_stats":null,"previous_names":["webobite/coursera-machine_learning_specialization"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/webobite/coursera-Machine_Learning_Specialization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/webobite%2Fcoursera-Machine_Learning_Specialization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/webobite%2Fcoursera-Machine_Learning_Specialization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/webobite%2Fcoursera-Machine_Learning_Specialization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/webobite%2Fcoursera-Machine_Learning_Specialization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/webobite","download_url":"https://codeload.github.com/webobite/coursera-Machine_Learning_Specialization/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/webobite%2Fcoursera-Machine_Learning_Specialization/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267179468,"owners_count":24048349,"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":"2025-07-26T02:00:08.937Z","response_time":62,"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":[],"created_at":"2024-11-06T01:27:36.432Z","updated_at":"2025-07-26T14:37:58.509Z","avatar_url":"https://github.com/webobite.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Coursera/Machine Learning \n```bash\n.\n├── README.md\n└── Supervised Machine Learning: Regression and Classification\n    ├── Week 1: Introduction to Machine Learning\n    │   ├── 1. Overview of Machine Learning\n    │   │   ├── 1. Welcome to machine learning!.txt\n    │   │   └── 2. Applications of machine learning.txt\n    │   ├── 2. Supervised vs. Unsupervised Machine Learning\n    │   │   ├── 1. What is Machine Learning.txt\n    │   │   ├── 2._01_examples_of_supervised_machine_learning_alogrithm_applications_in_real_world.png\n    │   │   ├── 2._02_examples_of_housing_price_prediction_using_regression.png\n    │   │   ├── 2. Supervised Learning Part 1.txt\n    │   │   ├── 3._01_examples_breast_cancer_detection.png\n    │   │   ├── 3._02_examples_breast_cancer_detection_2_or_more_input.png\n    │   │   ├── 3._03_summary_of_supervised_learning.png\n    │   │   ├── 3. Supervised Learning Part 2.txt\n    │   │   ├── 4._01_difference_between_supervised_and_unsupervised_learning.png\n    │   │   ├── 4._02_usage_of_clustring_in_dna_analysis.png\n    │   │   ├── 4._03_usage_of_clustring_in_market_segmentation.png\n    │   │   ├── 4. UnSupervised Learning Part 1.txt\n    │   │   ├── 4. UnSupervised Learning Part 2.txt\n    │   │   └── 5. Jupyter Notebooks.txt\n    │   ├── 3. Practice Quiz: Supervised vs unsupervised learning\n    │   │   └── 1._practise_quiz_supervised_vs_unsupervised_learning.png\n    │   ├── 4. Regression Model\n    │   ├── 5. Practise Quiz: Regression Model\n    │   ├── 6. Train Model with Gradient Descent\n    │   ├── 7. Practise Quiz: Train Model with Gradient Descent\n    │   └── Optional Labs\n    │       ├── C1_W1_Lab01_Python_Jupyter_Soln.ipynb\n    │       ├── C1_W1_Lab03_Model_Representation_Soln.ipynb\n    │       ├── C1_W1_Lab04_Cost_function_Soln.ipynb\n    │       ├── C1_W1_Lab05_Gradient_Descent_Soln.ipynb\n    │       ├── data.txt\n    │       ├── deeplearning.mplstyle\n    │       ├── images\n    │       │   ├── C1W1L1_Markdown.PNG\n    │       │   ├── C1W1L1_Run.PNG\n    │       │   ├── C1W1L1_Tour.PNG\n    │       │   ├── C1_W1_L3_S1_Lecture_b.png\n    │       │   ├── C1_W1_L3_S1_model.png\n    │       │   ├── C1_W1_L3_S1_trainingdata.png\n    │       │   ├── C1_W1_L3_S2_Lecture_b.png\n    │       │   ├── C1_W1_L4_S1_Lecture_GD.png\n    │       │   ├── C1_W1_Lab02_GoalOfRegression.PNG\n    │       │   ├── C1_W1_Lab03_alpha_too_big.PNG\n    │       │   ├── C1_W1_Lab03_lecture_learningrate.PNG\n    │       │   └── C1_W1_Lab03_lecture_slopes.PNG\n    │       ├── lab_utils_common.py\n    │       └── lab_utils_uni.py\n    ├── Week 2: Regression with multiple input variables\n    └── Week 3: Classification\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwebobite%2Fcoursera-machine_learning_specialization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwebobite%2Fcoursera-machine_learning_specialization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwebobite%2Fcoursera-machine_learning_specialization/lists"}