{"id":18626804,"url":"https://github.com/mdaffailhami/data_science_speedrun_journey","last_synced_at":"2026-04-05T21:31:43.191Z","repository":{"id":247572444,"uuid":"826237765","full_name":"mdaffailhami/data_science_speedrun_journey","owner":"mdaffailhami","description":"This repository contains notebooks and projects related to my data science speedrun journey.","archived":false,"fork":false,"pushed_at":"2024-10-28T13:17:26.000Z","size":5934,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-27T06:24:52.468Z","etag":null,"topics":["algebra","artificial-intelligence","data-analysis","data-analyst","data-science","data-scientist","jupyter-notebook","machine-learning","math","mathematics","numpy","pandas","postgresql","probability","python","statistics"],"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/mdaffailhami.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":"2024-07-09T10:21:58.000Z","updated_at":"2024-10-28T13:17:30.000Z","dependencies_parsed_at":"2024-07-09T13:23:49.347Z","dependency_job_id":"8272614f-7184-44ff-8339-9c667b6cf62d","html_url":"https://github.com/mdaffailhami/data_science_speedrun_journey","commit_stats":null,"previous_names":["mdaffailhami/data_science_speedrun_journey"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdaffailhami%2Fdata_science_speedrun_journey","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdaffailhami%2Fdata_science_speedrun_journey/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdaffailhami%2Fdata_science_speedrun_journey/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdaffailhami%2Fdata_science_speedrun_journey/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mdaffailhami","download_url":"https://codeload.github.com/mdaffailhami/data_science_speedrun_journey/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239421240,"owners_count":19635697,"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","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":["algebra","artificial-intelligence","data-analysis","data-analyst","data-science","data-scientist","jupyter-notebook","machine-learning","math","mathematics","numpy","pandas","postgresql","probability","python","statistics"],"created_at":"2024-11-07T04:39:05.206Z","updated_at":"2025-11-03T23:30:28.933Z","avatar_url":"https://github.com/mdaffailhami.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Daffa's Data Science Speedrun Journey\n\nThis repository contains notebooks and projects related to my data science speedrun journey.\n\n## About\n\nI'm embarking on a rapid learning journey through data science concepts and techniques. This repository serves as a collection of notebooks and projects that I've worked on during this speedrun.\n\n## Resources\n\n- [Google](https://google.com/)\n- [ChatGPT](https://chatgpt.com/)\n- [Kaggle](https://kaggle.com)\n- [Edureka - Data Science Full Course 12 Hours](https://www.youtube.com/live/xiEC5oFsq2s?si=XvMpLoVsGGT80Qq6)\n- [NeuralNine - NumPy Full Python Course](https://youtu.be/4c_mwnYdbhQ?si=BV4haj16pcqzHdar)\n- [mathantics - Algebra Basics](https://youtube.com/playlist?list=PL4mRaHZim4UQPTOTHTe6uKnRoGSo5GuP4\u0026si=3gDJEYgoPwYasVf2)\n- [codebasics - SQL Tutorial For Beginners](https://youtu.be/Rm0xH2Vpfi0?si=7QgTZjdXr5CGO4XF)\n- [Keith Galli - Complete Python Pandas Data Science Tutorial!](https://youtu.be/2uvysYbKdjM?si=UQLWEDjXom2Y4WFK)\n- [Alex The Analyst - Group By and Aggregate Functions in Pandas](https://youtu.be/VRmXto2YA2I?si=xa1j8UNM2pzsM6K9)\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdaffailhami%2Fdata_science_speedrun_journey","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmdaffailhami%2Fdata_science_speedrun_journey","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdaffailhami%2Fdata_science_speedrun_journey/lists"}