{"id":18075856,"url":"https://github.com/equinor/intro-to-data-science","last_synced_at":"2025-04-12T08:09:39.396Z","repository":{"id":246385387,"uuid":"819923954","full_name":"equinor/intro-to-data-science","owner":"equinor","description":"A 1-day course introducing concepts in data science","archived":false,"fork":false,"pushed_at":"2025-02-18T10:44:57.000Z","size":2775,"stargazers_count":12,"open_issues_count":0,"forks_count":8,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-12T08:09:26.041Z","etag":null,"topics":["classification","geoscience","machine-learning","teaching-materials"],"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/equinor.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-25T12:55:47.000Z","updated_at":"2025-02-18T10:45:02.000Z","dependencies_parsed_at":"2024-06-27T18:34:01.110Z","dependency_job_id":"11a8e843-090e-4f22-93cb-41088e6d94e2","html_url":"https://github.com/equinor/intro-to-data-science","commit_stats":null,"previous_names":["kwinkunks/intro-to-data-science","equinor/intro-to-data-science"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fintro-to-data-science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fintro-to-data-science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fintro-to-data-science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fintro-to-data-science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/equinor","download_url":"https://codeload.github.com/equinor/intro-to-data-science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248537131,"owners_count":21120709,"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":["classification","geoscience","machine-learning","teaching-materials"],"created_at":"2024-10-31T11:07:44.798Z","updated_at":"2025-04-12T08:09:39.348Z","avatar_url":"https://github.com/equinor.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# intro-to-data-science\n\nContent for a 1- to 2-day course introducing concepts in data science, aimed at intermediate Python coders.\n\n## Curriculum\n\n- [`0_data.ipynb`](./0_data.ipynb) \u0026mdash; A quick introduction to `pandas` for data loading and exploratory data analysis (EDA) tasks.\n- [`1_classification.ipynb`](./1_classification.ipynb) \u0026mdash; A small classification task: lithology prediction.\n- [`2_regression.ipynb`](./2_regression.ipynb) \u0026mdash; A small regression task: well log prediction.\n- [`2_regression_short.ipynb`](./2_regression_short.ipynb) \u0026mdash; A shorter version of the lesson on regression.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fequinor%2Fintro-to-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fequinor%2Fintro-to-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fequinor%2Fintro-to-data-science/lists"}