{"id":28476057,"url":"https://github.com/oriolventur/assignment-2-model-creation","last_synced_at":"2026-05-08T19:31:42.631Z","repository":{"id":297067837,"uuid":"995560863","full_name":"oriolventur/assignment-2-model-creation","owner":"oriolventur","description":"Assignment 2 from Artificial Intelligence 1 course: Model creation using synthetic data and scikit-learn.","archived":false,"fork":false,"pushed_at":"2025-06-03T17:23:15.000Z","size":1568,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-10-21T08:01:56.598Z","etag":null,"topics":["jupyter-notebook","model-creation","python","scikit-learn"],"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/oriolventur.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":"2025-06-03T17:06:11.000Z","updated_at":"2025-06-03T17:23:16.000Z","dependencies_parsed_at":"2025-06-04T03:07:05.487Z","dependency_job_id":"cd1fa398-4d05-483b-a9da-425b8efb36ae","html_url":"https://github.com/oriolventur/assignment-2-model-creation","commit_stats":null,"previous_names":["oriolventur/assignment-2-model-creation"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/oriolventur/assignment-2-model-creation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oriolventur%2Fassignment-2-model-creation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oriolventur%2Fassignment-2-model-creation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oriolventur%2Fassignment-2-model-creation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oriolventur%2Fassignment-2-model-creation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oriolventur","download_url":"https://codeload.github.com/oriolventur/assignment-2-model-creation/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oriolventur%2Fassignment-2-model-creation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32794575,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"ssl_error","status_checked_at":"2026-05-08T08:22:45.650Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["jupyter-notebook","model-creation","python","scikit-learn"],"created_at":"2025-06-07T15:05:59.740Z","updated_at":"2026-05-08T19:31:42.611Z","avatar_url":"https://github.com/oriolventur.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Assignment 2 - Model Creation\n\nThis repository contains the second assignment for the Artificial Intelligence 1 course during my Business Analytics master's program.\n\n## 📊 Objective\n\n- Generate a synthetic dataset using `make_moons`.\n- Split the data into training and testing sets.\n- Train and evaluate classification models using scikit-learn.\n- Visualize model performance and decision boundaries.\n- Analyze model hyperparameters using plots.\n\n## 📁 Contents\n\n- `A2_Group3_Final.ipynb`: Jupyter Notebook with the complete model creation workflow.\n\n## ⚙️ Technologies\n\n- Python\n- scikit-learn\n- pandas\n- matplotlib\n- plotly\n\n## 🚀 How to Run\n\nOpen `A2_Group3_Final.ipynb` in Jupyter Notebook or VSCode and execute the cells in order.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foriolventur%2Fassignment-2-model-creation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foriolventur%2Fassignment-2-model-creation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foriolventur%2Fassignment-2-model-creation/lists"}