{"id":19845741,"url":"https://github.com/jesussantana/supervised-classification","last_synced_at":"2026-05-08T16:54:02.445Z","repository":{"id":113637743,"uuid":"370407622","full_name":"jesussantana/Supervised-Classification","owner":"jesussantana","description":"Let’s practice and become familiar with classification algorithms.","archived":false,"fork":false,"pushed_at":"2021-06-29T14:34:22.000Z","size":32618,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-12T08:37:32.442Z","etag":null,"topics":["automl","automl-algorithms","classification-algorithms","classification-models","classification-trees","knn-classifier","lazzyclassifier","logistic-regression","python","support-vector-machine","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jesussantana.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2021-05-24T15:54:34.000Z","updated_at":"2021-06-29T14:34:25.000Z","dependencies_parsed_at":"2023-03-13T13:18:41.244Z","dependency_job_id":null,"html_url":"https://github.com/jesussantana/Supervised-Classification","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jesussantana/Supervised-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FSupervised-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FSupervised-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FSupervised-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FSupervised-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jesussantana","download_url":"https://codeload.github.com/jesussantana/Supervised-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jesussantana%2FSupervised-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279010793,"owners_count":26084807,"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":"2025-10-12T02:00:06.719Z","response_time":53,"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":["automl","automl-algorithms","classification-algorithms","classification-models","classification-trees","knn-classifier","lazzyclassifier","logistic-regression","python","support-vector-machine","xgboost"],"created_at":"2024-11-12T13:09:06.610Z","updated_at":"2025-10-12T08:37:34.020Z","avatar_url":"https://github.com/jesussantana.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# [IT Academy - Data Science with Python](https://www.barcelonactiva.cat/es/itacademy)\n## [S13 T01: Supervised Classification](https://github.com/jesussantana/Supervised-Classification/blob/main/notebooks/S13_T01_Supervised_Classification.ipynb)\n\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)  \n[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge\u0026logo=Jupyter)](https://jupyter.org/try)  \n[![wakatime](https://wakatime.com/badge/github/jesussantana/Supervised-Classification.svg)](https://wakatime.com/badge/github/jesussantana/Supervised-Classification)  \n\n\n### Description\n\nLet’s practice and become familiar with classification algorithms.\n\n\n### Level 1\n\n- Exercise 1: \n  - Create at least three different classification models to try to best predict DelayedFlights.csv flight delay (ArrDelay).\n\n- Exercise 2: \n  - Creates a new variable depending on whether the flight arrived late or not (ArrDelay\u003e 0).\n\n- Exercise 3: \n  - Compare classification models using accuracy, a confidence matrix, and other more advanced metrics.\n\n- Exercise 4: \n  - Train them using the different parameters they support.  \n\n- Exercise 5: \n  - Compare your performance using the traint / test approach or using all data (internal validation).\n\n\n### Level 2\n\n- Exercise 5: \n  - Perform some variable engineering process to improve prediction.\n\n### Level 3\n\n- Exercise 6: \n  - Do not use the DepDelay variable when making predictions.\n\n\n### Targets\n\n- Classification trees\n- KNN - k-Nearest Neighbors\n- Logistic Regression\n- Support Vector Machine\n- XGboost","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjesussantana%2Fsupervised-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjesussantana%2Fsupervised-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjesussantana%2Fsupervised-classification/lists"}