{"id":19068725,"url":"https://github.com/machine-learning-tokyo/kaggle","last_synced_at":"2025-04-28T13:40:53.733Z","repository":{"id":96775704,"uuid":"176394590","full_name":"Machine-Learning-Tokyo/Kaggle","owner":"Machine-Learning-Tokyo","description":"MLT working sessions: Kaggle","archived":false,"fork":false,"pushed_at":"2019-03-23T07:02:10.000Z","size":2254,"stargazers_count":7,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-18T16:29:19.809Z","etag":null,"topics":["deep-learning","kaggle","machine-learning"],"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/Machine-Learning-Tokyo.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":"2019-03-19T00:57:29.000Z","updated_at":"2020-04-05T05:14:00.000Z","dependencies_parsed_at":null,"dependency_job_id":"742c7da4-5b3b-41ac-b4c9-a10d93b5a692","html_url":"https://github.com/Machine-Learning-Tokyo/Kaggle","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2FKaggle","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2FKaggle/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2FKaggle/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Machine-Learning-Tokyo%2FKaggle/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Machine-Learning-Tokyo","download_url":"https://codeload.github.com/Machine-Learning-Tokyo/Kaggle/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251321201,"owners_count":21570694,"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":["deep-learning","kaggle","machine-learning"],"created_at":"2024-11-09T01:11:33.733Z","updated_at":"2025-04-28T13:40:53.724Z","avatar_url":"https://github.com/Machine-Learning-Tokyo.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MLT working sessions: Kaggle\n\n**Session I: [LANL Earthquake Prediction](https://www.kaggle.com/c/LANL-Earthquake-Prediction)**\n\nForecasting earthquakes is one of the most important problems in Earth science because of their devastating consequences. Current scientific studies related to earthquake forecasting focus on three key points: when the event will occur, where it will occur, and how large it will be.\n\nIn this competition, you will address when the earthquake will take place. Specifically, you’ll predict the time remaining before laboratory earthquakes occur from real-time seismic data.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachine-learning-tokyo%2Fkaggle","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachine-learning-tokyo%2Fkaggle","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachine-learning-tokyo%2Fkaggle/lists"}