{"id":21734803,"url":"https://github.com/jch-datascience/proyecto_oilygiant","last_synced_at":"2025-03-21T00:19:25.612Z","repository":{"id":209774849,"uuid":"724916343","full_name":"jch-datascience/Proyecto_OilyGiant","owner":"jch-datascience","description":null,"archived":false,"fork":false,"pushed_at":"2023-11-29T03:45:53.000Z","size":12779,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-25T20:42:57.077Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/jch-datascience.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}},"created_at":"2023-11-29T03:41:00.000Z","updated_at":"2023-11-29T03:45:56.000Z","dependencies_parsed_at":"2023-11-29T04:42:14.697Z","dependency_job_id":null,"html_url":"https://github.com/jch-datascience/Proyecto_OilyGiant","commit_stats":null,"previous_names":["jch-datascience/proyecto_oilygiant"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jch-datascience%2FProyecto_OilyGiant","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jch-datascience%2FProyecto_OilyGiant/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jch-datascience%2FProyecto_OilyGiant/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jch-datascience%2FProyecto_OilyGiant/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jch-datascience","download_url":"https://codeload.github.com/jch-datascience/Proyecto_OilyGiant/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244712191,"owners_count":20497453,"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":[],"created_at":"2024-11-26T05:10:42.099Z","updated_at":"2025-03-21T00:19:25.592Z","avatar_url":"https://github.com/jch-datascience.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Proyecto_OilyGiant\n\nNuestra tarea es encontrar los mejores lugares donde abrir 200 pozos nuevos de petróleo.\nPara completar esta tarea, realizaremos los siguientes pasos:\n - Leer los archivos con los parámetros recogidos de pozos petrolíferos en la región seleccionada: calidad de crudo y volumen de reservas.\n - Crear un modelo para predecir el volumen de reservas en pozos nuevos.\n - Elegir los pozos petrolíferos que tienen los valores estimados más altos.\n - Elegir la región con el beneficio total más alto para los pozos petrolíferos seleccionados.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjch-datascience%2Fproyecto_oilygiant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjch-datascience%2Fproyecto_oilygiant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjch-datascience%2Fproyecto_oilygiant/lists"}