{"id":17220780,"url":"https://github.com/thedayisntgray/forcastingthefuture","last_synced_at":"2025-04-13T22:32:47.168Z","repository":{"id":154961579,"uuid":"628724676","full_name":"thedayisntgray/ForcastingTheFuture","owner":"thedayisntgray","description":"Materials related to my talk on using machine learning in Ruby","archived":false,"fork":false,"pushed_at":"2023-05-04T20:12:27.000Z","size":808,"stargazers_count":35,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T10:58:00.473Z","etag":null,"topics":["jupyter-notebook","linear-regression","machine-learning","rubyml"],"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/thedayisntgray.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":"2023-04-16T20:25:40.000Z","updated_at":"2024-11-13T01:15:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"eb966ac8-f625-40d4-8fd4-c7def1f9f28c","html_url":"https://github.com/thedayisntgray/ForcastingTheFuture","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/thedayisntgray%2FForcastingTheFuture","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thedayisntgray%2FForcastingTheFuture/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thedayisntgray%2FForcastingTheFuture/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thedayisntgray%2FForcastingTheFuture/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thedayisntgray","download_url":"https://codeload.github.com/thedayisntgray/ForcastingTheFuture/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248790781,"owners_count":21162088,"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":["jupyter-notebook","linear-regression","machine-learning","rubyml"],"created_at":"2024-10-15T03:53:09.659Z","updated_at":"2025-04-13T22:32:45.472Z","avatar_url":"https://github.com/thedayisntgray.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ForcastingTheFuture\nMaterials related to my talk on using machine learning in Ruby\n\n# Authors Note:\n\nThis project is a useful example of the steps it takes to complete an ml project in ruby. Some of the libraries and methods used may not be the most optimal.\n\nFor example Linear Regression is not a great model for predecting the weather but is a simple model which makes it easy to explain for a talk.\n\nThere are other areas where there is room for cleanup if this were an actually going into production.\n\nIf you have any questions or want to get started on your own projects but need some guidance, you can reach out to me at thedayisntgray@gmail.com\n\nIf you have questions about the methodologies uses, I adapted a good portion of this project from [this video](https://www.youtube.com/watch?v=km95-NMT6lU\u0026t=1258s)\n\nI also want to thank my coworker AJ @ajhekman for helping me setup a docker file to accompany this repo and make it easier for folks to access.\n\n# Docker Setup\n\nAssuming you have docker installed, pull down the repo and run:\n\n```\ndocker-compose up\n```\n\n\n# Useful Resources:\n\nhttps://ankane.org/rails-meet-data-science\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthedayisntgray%2Fforcastingthefuture","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthedayisntgray%2Fforcastingthefuture","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthedayisntgray%2Fforcastingthefuture/lists"}