{"id":22242809,"url":"https://github.com/abdelhakim-gh/machine-learning_data-analysis_project","last_synced_at":"2026-04-12T02:35:57.434Z","repository":{"id":222297555,"uuid":"756837344","full_name":"Abdelhakim-gh/Machine-Learning_Data-Analysis_Project","owner":"Abdelhakim-gh","description":"recognizing handwritten numbers \u0026 comparing the Life Expectancy vs Fertility in 1960 \u0026 2013 of regions","archived":false,"fork":false,"pushed_at":"2024-02-13T12:25:54.000Z","size":2407,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-24T19:46:55.371Z","etag":null,"topics":["data-analysis","jupyter-notebook","machine-learning","python","r","r-studio"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/Abdelhakim-gh.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}},"created_at":"2024-02-13T12:06:58.000Z","updated_at":"2024-02-17T13:38:11.000Z","dependencies_parsed_at":"2024-02-13T14:44:17.091Z","dependency_job_id":null,"html_url":"https://github.com/Abdelhakim-gh/Machine-Learning_Data-Analysis_Project","commit_stats":null,"previous_names":["abdelhakim-gh/machine-learning_data-analysis_project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Abdelhakim-gh/Machine-Learning_Data-Analysis_Project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelhakim-gh%2FMachine-Learning_Data-Analysis_Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelhakim-gh%2FMachine-Learning_Data-Analysis_Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelhakim-gh%2FMachine-Learning_Data-Analysis_Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelhakim-gh%2FMachine-Learning_Data-Analysis_Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Abdelhakim-gh","download_url":"https://codeload.github.com/Abdelhakim-gh/Machine-Learning_Data-Analysis_Project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelhakim-gh%2FMachine-Learning_Data-Analysis_Project/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31702580,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-11T21:17:31.016Z","status":"online","status_checked_at":"2026-04-12T02:00:06.763Z","response_time":58,"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":["data-analysis","jupyter-notebook","machine-learning","python","r","r-studio"],"created_at":"2024-12-03T04:17:43.367Z","updated_at":"2026-04-12T02:35:57.408Z","avatar_url":"https://github.com/Abdelhakim-gh.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning \u0026 Data Analysis Projects\n\n\u003e **Abdelhakim EL Ghayoubi** \n\n- This is a project I worked on to apply the things I learned.\n- I've provided both code and documentation for both projects, as well as a summary for languages `Python` \u0026 `R`.\n- Data sets are also provided, make sure to analyze them thoroughly.\n\n### Machine Learning Project with `Python`\n\n- This project focuses on recognizing handwritten numbers (digits) using machine learning algorithms. Handwritten digits vary significantly in terms of writing style, size, and orientation.\n- The objective is to develop a machine learning model capable of accurately identifying handwritten digits. This model should be trained on a dataset containing different representations of numbers in the form of image grids. Once trained, the model should be able to predict the digit in unseen images with high accuracy.\n\n### Data Analysis Projects with `R`\n\n- This project focuses on comparing the Life Expectancy vs. Fertility in 1960 \u0026 2013 of regions to highlight the regions with stable \u0026 high quality of life or maybe predict the potential growing/developed region.\n\n\n### Tools used: \n\n- Jupyter note book \n- R studio \n- Python \u0026 R (last versions)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdelhakim-gh%2Fmachine-learning_data-analysis_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdelhakim-gh%2Fmachine-learning_data-analysis_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdelhakim-gh%2Fmachine-learning_data-analysis_project/lists"}