{"id":16109092,"url":"https://github.com/jhwa426/big-data-and-machine-learning","last_synced_at":"2026-05-19T04:02:55.006Z","repository":{"id":63656937,"uuid":"569578751","full_name":"jhwa426/Big-Data-and-Machine-Learning","owner":"jhwa426","description":"Big Data, Data Mining / Machine Learning techniques","archived":false,"fork":false,"pushed_at":"2023-09-20T21:06:57.000Z","size":24910,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T04:29:28.108Z","etag":null,"topics":["data-science","google-colaboratory","jupyter-notebook","machine-learning","probabilistic-models","python","sql","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jhwa426.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":"2022-11-23T06:29:20.000Z","updated_at":"2023-03-07T04:00:40.000Z","dependencies_parsed_at":"2024-12-19T12:35:20.378Z","dependency_job_id":null,"html_url":"https://github.com/jhwa426/Big-Data-and-Machine-Learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jhwa426/Big-Data-and-Machine-Learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhwa426%2FBig-Data-and-Machine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhwa426%2FBig-Data-and-Machine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhwa426%2FBig-Data-and-Machine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhwa426%2FBig-Data-and-Machine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jhwa426","download_url":"https://codeload.github.com/jhwa426/Big-Data-and-Machine-Learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jhwa426%2FBig-Data-and-Machine-Learning/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269956371,"owners_count":24503155,"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":"2025-08-11T02:00:10.019Z","response_time":75,"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-science","google-colaboratory","jupyter-notebook","machine-learning","probabilistic-models","python","sql","statistics"],"created_at":"2024-10-09T19:29:39.073Z","updated_at":"2026-05-19T04:02:54.943Z","avatar_url":"https://github.com/jhwa426.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# BUSAN 302 : Big Data and Machine Learning\n\n## Course Overview\n\nThe purpose of this course is to acquire knowledge to apply appropriate Big Data, Data Mining / Machine Learning techniques to gain information insights to various problems faced by an organisation. The focus of this course is to firstly identify a problem from a given case study that needs solving; secondly, consider various possible designs and select the most appropriate solution; and finally, to specify a solid plan for building and evaluating the system designed. No executable implementation of the system is expected. A basic knowledge of Big Data and tools will be given. Knowledge and experience of state of the art machine learning tools from a key vendor, will be gained in the labs with opportunities and encouragement to explore other tools.\n\n\n## Course Requirements\n\nPrerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222 Restriction: INFOMGMT 393, INFOSYS 330\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjhwa426%2Fbig-data-and-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjhwa426%2Fbig-data-and-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjhwa426%2Fbig-data-and-machine-learning/lists"}